M. S. RAMAIAH INSTITUTE OF TECHNOLOGY
BANGALORE-54
(AUTONOMOUS INSTITUTE, AFFILIATED TO VTU)
MEDICAL ELECTRONICS
SYLLABUS
Outcomes Based Education Curricula
(For the Academic year 2015-2016)
V & VI Semester B. E.
1
History of the Institute:
M. S. Ramaiah Institute of Technology was started in 1962 by the late Dr. M.S. Ramaiah, our
Founder Chairman who was a renowned visionary, philanthropist, and a pioneer in creating
several landmark infrastructure projects in India. Noticing the shortage of talented engineering
professionals required to build a modern India, Dr. M.S. Ramaiah envisioned MSRIT as an
institute of excellence imparting quality and affordable education. Part of Gokula Education
Foundation, MSRIT has grown over the years with significant contributions from various
professionals in different capacities, ably led by Dr. M.S. Ramaiah himself, whose personal
commitment has seen the institution through its formative years. Today, MSRIT stands tall as
one of India’s finest names in Engineering Education and has produced around 35,000
engineering professionals who occupy responsible positions across the globe.
About the Medical Electronics Department
The Medical Electronics department at M.S. Ramaiah Institute of Technology (MSRIT),
Bangalore was started in the year 1996. The department is offering 4-year full time B. E. degree
course in Medical Electronics, affiliated to VTU, Belgaum, recognized by Government of
Karnataka, approved by AICTE, New Delhi and accredited by NBA. The department is located
at Lecture Hall Complex of MSRIT Campus. The department consists of a highly motivated &
qualified faculty and dedicated supporting staff headed by Dr. N. Sriraam, Academy-industry
experienced Professor with specialization in biomedical signal processing.
2
Faculty List
Names of Faculty
Sl. No.
1
Dr N Sriraam
2
Qualification
Designation
B.E., M.Tech, Ph.D
Professor and Head
Prof. P G Kumaravelu
B.E., M.Tech,
Professor
3
Dr. C K Narayanappa
B.E., M.Tech, Ph.D
Associate Professor
4
Mrs. Prabhu Ravikala Vittal
B.E., ME, (Ph.D)
Associate Professor
5
Mrs. Uma Arun
B.E, M.S., (Ph.D)
Assistant Professor
6
Mrs. Prabha Ravi
B.E., M.Sc, MBA, (Ph.D)
Assistant Professor
7
Mr. S. J. Mahendra
B.E., M.Tech,( Ph.D)
Assistant Professor
8
Mrs. Purnima B R
B.E., M.Sc (Engg.),
Assistant Professor
9
Ms. Supriya Babu
BE, M.Sc.,
Assistant Professor
10
Mr. Sanjay H. S.
B.E., M.Tech,(Ph.D)
Assistant Professor
11
Mr. Basavaraj V Hiremath
B.E., M.Tech, (Ph.D)
Assistant Professor
12
Mrs. Chandana S.
B.E., M.Tech, (Ph.D)
Assistant Professor
Vision and Mission of the Institute and the Department
The Vision of MSRIT
To evolve into an autonomous institution of international standing for imparting quality technical
education
The Mission of the institute in pursuance of its Vision:
MSRIT shall deliver global quality technical education by nurturing a conducive learning
environment for a better tomorrow through continuous improvement and customization
Quality Policy
“We at M. S. Ramaiah Institute of Technology, Bangalore strive to deliver comprehensive,
continually enhanced, global quality technical and management education through an established
Quality Management system Complemented by the Synergistic interaction of the stake holders
concerned”.
3
Vision of the Department:
“Provide quality education, motivational academic environment and foster strong academicindustrial ties to empower the students to face the challenges of tomorrow”
Mission of the Department:
The department shall transform the entrant of the program into professionally competent
engineers through innovative curricula, research, practical training and effective collaboration
with industry, hospital, and academia.
Process of deriving the vision and mission of the department
Process of deriving the vision and mission of the department is shown in Figure below
Institute’s Vision & Mission
Management
Vision &
Mission of the
Department by
the committee
Parents
Industry
Alumni
Department
Faculty
Students
Periodic Review
4
Process of Deriving the PEOs of the programme
Department Vision &
Mission
Institute Vision &
Mission
Committee formation and preparation of questionnaire
Conduction of Survey
Students
Parents
Alumni
Industry
Collect data
(Department Committee)
Deliberate, Analyze and
summarize the data
(Board of Studies)
Academic Council &
Governing Council
Accept & Approve
PEOs
5
PG faculty
Programme Educational Objectives (PEOs)
1. Solve the real-life healthcare problems by employing the knowledge and skills of
Medical Electronics
2. To bridge the gap between engineering and medicine by optimal design &
implementation of healthcare technologies
3. To inculcate professional and ethical values in lifelong learning process
Process of deriving the Programme Outcomes
The Programme outcomes are defined taking into account the feedback received from faculty,
alumni, Industry and also from guidelines put across by regulatory/professional bodies and
graduate attributes which are in line with programme educational objectives. The following Fig.
2.1 indicates the information flow.
Department Vision and
Mission
Institute Vision and Mission
Feedback
Faculty
Student
Programme Educational
Objectives
Programme Outcomes
Graduate Attributes
Regulatory bodies such
as UGC,AICTE,VTU
Alumni
Professional bodies such
as IIIE, NITIE
Industry
6
Program Outcomes
The graduates of the programme will be able to:
a. Apply knowledge and skills of mathematics, engineering and science to various
healthcare domains.
b. Design and conduct experiments, as well as analyze and interpret data.
c. Design and improve a system, component or a process to meet desired needs within
realistic constraints such as economic, social, health, ethical and safety, manufacturability
and sustainability.
d. Function as a member, of a multi-disciplinary team.
e. Identify, formulate and solve engineering problems.
f. Understand and respect professional and ethical responsibility.
g. Communicate effectively both orally and in writing.
h. Understand the impact of engineering solutions in a global and societal context.
i. Recognize the need for and an ability to engage in life-long learning.
j. Have knowledge of contemporary issues in healthcare and service sectors.
k. Use updated techniques, skills and tools necessary for engineering practices throughout
their professional careers.
l. Implement the concepts of project and financial management to satisfy customer
expectations.
Program Objectives
•
After graduation a medical electronics engineer will be capable of:
▫
Being employed in any of the wide ranging careers in healthcare related positions
in industry, hospitals, research institutions or academia.
▫
Pursuing advanced degrees in biomedical engineering, Bioengineering or other
fields related to their long term career goals
7
Mapping of PEO’s and PO’s
The correlation between the Programme outcomes and Program Educational objectives are
mapped in the Table shown below:
Correlation between the POs and the PEOs
Sl.
No.
Programme Educational
Objectives
Programme Outcomes
a
b
c
1
Solve the real-life healthcare
problems by employing the
knowledge and skills of Medical
Electronics
X X X
2
To bridge the gap between
engineering and medicine by optimal
design & implementation of
healthcare technologies
X
3
To inculcate professional and ethical
values in lifelong learning process
d
X X
X
e
X
f
g
h
i
j
k
l
X X X X X
X X
X X X X X
X
Curriculum breakdown structure:
The curriculum of Medical Electronics programme is so structured to include all the courses that
together satisfy the requirements of the programme specific criteria. The Course code, Course
title, the number of contact hours and the number of credits for each course are given in the
following table. The courses are grouped in line with the major components of the curriculum
namely: (i) Mathematics and Basic sciences, (ii) Basic Engineering courses, (iii) Humanities and
Social Sciences, (iv) Professional core courses, (v) Electives and (vi) industry/hospital
exposure/internship.
8
Breakup of Credits for BE Degree Curriculum. ( I to VIII Semester)
Sem
PCS
Professional
Electives
Other
Electives
Project /
Seminar/
Internship
Total
Credits
HSS
BS
ES
II
06
20
24
III
--
04
--
22
-
-
-
IV
-
04
-
21
-
-
-
V
-
-
-
26
-
-
-
VI
-
-
-
19
06
-
01
VII
-
-
-
13
06
03
03
VIII
07
-
-
--
03
-
12
22
Total
13
28
24
101
15
03
16
200
I
50
26
25
26
26
25
HSS - Humanities and Social Sciences
- 13
BS
- Basic Sciences (Mathematics, Physics, Chemistry)
- 28
ES
- Engineering Sciences (Materials, Workshop, Drawing, Computers).
- 24
PCS - Professional Core Subjects
- 101
Prof. Ele - Professional Electives, relevant to the chosen specialization branch.
- 15
Other Ele - Elective Subjects, from other technical and / or emerging subject Areas. - 03
Project / Seminar - Project Work, Seminar and / or Internship in industry or elsewhere.
- 16
9
BOARD OF STUDIES MEMBERS
M.S. RAMAIAH INSTITUTE OF TECHNOLOGY, BENGALURU-54
(Autonomous Institute, Affiliated to VTU)
ANNEXURE – III
BOARD OF STUDIES - Department of Medical Electronics
(TO BE CONSTITUTED AS OER 5.3 OF STATUTE FRAMED SECTION 43(A) OF 2006 AMENDED) VTU ACT 1994.
Sl.No
1.
Category
Name Of The Person With
Official Address
Status
Head Of The Department Conserned
Dr. N. Sriraam
Prof. & H.O.D.
Dept. Of Medical Electronics
M.S.R.I.T. Bengaluru-54
Chairperson
Prof. P.G. Kumaravelu
Professor,
Dept. Of Medical Electronics
M.S.R.I.T- Bengaluru-54
Mrs. Prabhu Ravikala Vittal
Associate Professor
Dept. Of Medical Electronics
M.S.R.I.T- Bengaluru-54
2.
At Least 5 Faculty Members At Different Levels Covering
Different Specializations, to be Nominated by The
Academic Council
Mrs. Uma Arun
Assistant Professor
Dept. Of Medical Electronics
M.S.R.I.T- Bengaluru-54
Member
Mrs. Prabha Ravi
Assistant Professor
Dept. Of Medical Electronics
M.S.R.I.T- Bengaluru-54
Mrs. Supriya Babu
Assistant Professor
Dept. Of Medical Electronics
M.S.R.I.T- Bengaluru-54
Dr. Venkatesh Balasubramanian
Associate Professor ,
Engineering Design Dept.
IIT Chennai
3.
Two Experts In The Subject From Out Side The College,
To Be Nominated By The Academic Council.
4
One Expert From Outside The College, To Be Nominated
By The Vice Chancellor From A Panel Of Six
Recommended By The Principal
Mr. Ravi Bharadwaj
Engineering Manager
India GE Healthcare
John F Welch Technology Center
Bangalore
Dr. Mallikarjun. S. Holi
Prof. & H.O.D.
Dept. Of Bio-Medical Engg.,
University BDT College Of Engineering.
Davanagere-577004
10
Member
Member
Sl.No
Category
Name Of The Person With
Official Address
5.
One Representative From Industry /Corporate Area
Sector/Allied / Relating To Placement, To Be Nominated
By The Academic Council.
Mr. Ravindran
Director And CTO
Skanray Healthcare Pvt. Limited
Plot No. 360, KIADB Industrial Area,
Hebbal , Mysore -570 018
One Post Graduate Meritorious Alumnus, To Be Nominated
By The Principal
Mrs. Padmaja Kankipati, Phd
Director Of Service Delivery & R & D
Specialized Mobility Operations And
Innovations,
2nd Floor, Sona Towers, 71 Millers Road,
Bangalore -560 052
6.
SPECIIAL INVITEES-EXPERT
Sl. No
1.
2.
Name Of The Person With Official Address
Dr. Ravi Ramaswamy
Sr. Director & Head-Health Systems Philips Innovation Campus
Manyata Tech Park,
Bangalore 560045
Dr. Shyam Vasudeva Rao
President & CTO
Forus Health Pvt. Ltd.
4085a, 2nd Floor, K R Road, BSK II Stage,
Bangalore – 560 082.
Status
Special Invitee
Special Invitee
11
Status
Member
Member
M. S. RAMAIAH INSTITUTE OF TECHNOLOGY, BANGALORE
(Autonomous Institute, Affiliated to VTU)
SCHEME OF TEACHING FOR THE ACADEMIC YEAR 2015-2016
V SEMESTER B. E. MEDICAL ELECTRONICS
Credits
Contact
Hours/
Week
Sl.
No.
Subject
Code
1
ML501
Biomedical
Instrumentation
Medical Electronics
Engineering
4
0
0
4
4
2
ML502
Digital Image
Processing
Medical Electronics
Engineering
4
0
0
4
4
3
ML503
Digital Signal
Processing
Medical Electronics
Engineering
4
0
0
4
4
4
ML504
Medical Physics
Medical Electronics
Engineering
3
0
0
3
3
5
ML505
Control Systems
Medical Electronics
Engineering
3
1
0
4
5
6
ML506
Biomaterials and
Artificial Organs
Medical Electronics
Engineering
4
0
0
4
4
7
MLL507
Biomedical
Instrumentation Lab
Medical Electronics
Engineering
0
0
1
1
2
8
MLL508
Digital Image
Processing Lab
Medical Electronics
Engineering
0
0
1
1
2
9
MLL509
Digital Signal
Processing Lab
Medical Electronics
Engineering
0
0
1
1
2
22
1
3
26
30
Subject
Teaching Dept.
L* T* P* TOTAL
Total
*L: Lecture
*T: Tutorial
12
*P: Practical
M. S. RAMAIAH INSTITUTE OF TECHNOLOGY, BANGALORE
(Autonomous Institute, Affiliated to VTU)
SCHEME OF TEACHING FOR THE ACADEMIC YEAR 2015-2016
VI SEMESTER B. E. MEDICAL ELECTRONICS
Sl.
No.
Subject
Code
Contact
Hours/
Week
Credits
Subject
Teaching Dept.
L*
T*
P*
TOTAL
1
ML601
Diagnostic and
Therapeutic Equipment
Medical Electronics
Engineering
4
0
0
4
4
2
ML602
Medical Image Processing
Medical Electronics
Engineering
4
0
0
4
4
3
ML603
Biomedical Signal
Processing
Medical Electronics
Engineering
4
0
0
4
4
4
ML604
Biomechanics
Medical Electronics
Engineering
4
0
0
4
4
5
MLPE1X
Elective -I
Medical Electronics
Engineering
3
0
0
3
3
6
MLPE2X
Elective-II
Medical Electronics
Engineering
3
0
0
3
3
7
MLL607
Diagnostic and
Therapeutic Equipment
Lab
Medical Electronics
Engineering
0
0
1
1
2
8
MLL608
Medical Image Processing
Lab
Medical Electronics
Engineering
0
0
1
1
2
9
MLL609
Biomedical Signal
Processing Lab
Medical Electronics
Engineering
0
0
1
1
2
10
MLL610
Mini Project
Medical Electronics
Engineering
0
0
1
1
2
22
0
4
26
30
Total
*L: Lecture
*T: Tutorial
13
*P: Practical
ELECTIVE- I
Credits
Sl.
No.
Subject Code
1
MLPE11
Programmable System
on Chip (PSoC)
2
MLPE12
3
Subject
Contact
Teaching Dept.
L*
T*
P*
Total
Hours/ Week
Medical Electronics
Engineering
3
0
0
3
3
Lasers in Medicine
Medical Electronics
Engineering
3
0
0
3
3
MLPE13
Embedded Real Time
Systems
Medical Electronics
Engineering
3
0
0
3
3
4
MLPE14
Biometrics
Medical Electronics
Engineering
3
0
0
3
3
5
MLPE15
Speech Processing
Medical Electronics
Engineering
3
0
0
3
3
6
MLPE16
Core JAVA
Medical Electronics
Engineering
3
0
0
3
3
ELECTIVE- II
Credits
Sl.
No.
Subject
Code
Subject
1
MLPE21
Medical Informatics
2
MLPE22
3
MLPE23
4
MLPE24
5
MLPE25
*L: Lecture
Contact
Teaching Dept.
L*
T*
P*
Total
Hours/
Week
Medical Electronics
Engineering
3
0
0
3
3
Medical Optics
Medical Electronics
Engineering
3
0
0
3
3
BioMEMS
Medical Electronics
Engineering
3
0
0
3
3
Biosensors
Medical Electronics
Engineering
3
0
0
3
3
Analytical
Instrumentation
Medical Electronics
Engineering
3
0
0
3
3
*T: Tutorial
14
*P: Practical
BIOMEDICAL INSTRUMENTATION
Course code: ML501
Credits: 4: 0: 0
Prerequisite: Sensors and Measurements
Contact Hours: 56
Course Coordinator(s): Mrs. Supriya Babu, Mr. Sanjay H. S.
Course objectives:
1.
To understand the generalized structure of biomedical instrumentation and its development process.
2.
To study the concepts behind the origin of electricity in human beings.
3.
To analyze the working principles of electrodes and their applications in biomedical engineering concepts.
4.
To apply different concepts to design of bio-potential amplifiers for various healthcare applications.
5.
To study the non-electrical & sensory measurements in human body and their importance in clinical
diagnostics
Course contents:
Unit – I
Introduction to biomedical instrumentation: Biometrics, introduction to the man-instrument system, components
of man-instrument system, medical instrumentation development process, problems encountered in measuring a
living system. Sources of bioelectric potentials: Resting and action potentials, propagation of action potentials, the
bioelectric potentials.
Unit – II
Bio Potential Electrodes: Origin of bio potential and its Propagation, Electrode theory, Electrode-electrolyte
interface, electrode–skin interface, half cell potential, electrode impedance, polarization effects of electrodenonpolarizable electrodes, Types of electrodes, electrolysis & arching, Stimulating electrodes, capacitive electrodes,
electrode-tissue interaction, internal electrodes, electrodes on a subject, tissue response to electrolytes, skin abrasion
Unit – III
Measurement of Non-Electrical Parameter: Temperature, Respiration rate and pulse rate measurement. Blood
pressure: indirect methods-auscultatory method, oscillometric method, direct methods: electronic manometer,
pressure amplifiers-systolic, diastolic, mean detector.
Behavioral & sensory measurements: Instruments for testing motor responses, Instrumentation for sensory
measurements, Bio-feedback instrumentation
Unit – IV
Bio Amplifier: Basic Amplifier configurations, Basic requirements-example of typical Electrocardiograph,
Problems frequently encountered with bio-amplifiers, transient protection, common–mode and other interference
reduction circuits, right leg driven ECG amplifier, Isolation amplifiers-transformer and optical isolation, Isolated DC
amplifier and AC carrier amplifier. Chopper amplifiers
Unit – V
Amplifiers for other Biopotential Signals, Example of Biopotential Pre-amplifier, Other Biopotential Signal
Processors concepts –Integrators, Filters, Comparators, Modulators, Demodulators
15
Text Books:
1.
John G. Webster “Medical Instrumentation Application and Design” , John Wiley, New York, 2004.
2.
Geddes and Baker “Principles of Applied Biomedical Instrumentation”, , John Wiley, 3rd Edition, 1989.
3.
Joseph J. Carr and John M. Brown “Introduction to Biomedical Equipment Technology “, Prentice Hall,
1998
References:
1.
R. S. Khandpur, “Handbook of Biomedical Instrumentation “ 2nd Edition, Tata McGraw Hill, 2003
2.
Cromwel “Biomedical Instrumentation and Measurements”, l et al., 2nd Edition, PHI, 1990
Course Delivery: Regular black board teaching, Power point presentation, Demonstrations, Group discussion/
interaction, Workshop/Tutorial
Course outcomes:
On completion of the course the students shall:
1.
Explain the sources of Bio Potentials. (PO a)
2.
Apply electronic concepts for design of amplifiers and filter for acquisition of physiological signals. (POa,
POc, POh)
3.
Analyze different parameters applicable in development of instrumentation for healthcare applications. (POh,
POj)
Asses ment and Evaluation vis-à-vis Course outcomes :
Indirect
Assessment
Methods
Direct Assessment Methods
What
To whom
Thrice
(Average of the
best two will be
computed)
Internal assessment
tests
CIE
Max
Marks
30
Evidence
collected
Course Outcomes
Blue books
1, 2 and 3
Once
10
Surprise test
answer scripts
1 and 2
Multiple Choice
Questions
Once
10
MCQ answer
scripts
1 and 2
Standard examination
End of course
(Answer any 5
of 10 questions)
100
Answer scripts
1, 2 and 3
Middle of the
course
-
Feedback
forms
1, 3 Delivery of the
course
Questionnaire
1& 2 , Effectiveness of
Delivery of
instructions and
Assessment methods
Surprise test
SEE
Frequency
Students
Students feedback
Students
End of course survey
End of course
16
-
CIE and SEE evaluation
S.No
Bloom’s
Category
Test 1
(30)
Test 2
(30)
Test 3
(30)
Others
(20)
Semester-End Examination
(100)
1
Remember
30
20
10
20
20
2
Understand
30
20
20
20
20
3
Apply
20
30
30
30
30
4
Analyze
20
20
30
20
20
5
Evaluate
0
10
10
10
10
6
Create
0
0
0
0
0
17
DIGITAL IMAGE PROCESSING
Course code: ML502
Prerequisite: Nil
Course Coordinator(s): Mr. Basavaraj Hiremath, Dr. C. K. Narayanappa
Credits: 4:0:0
Contact Hours: 56
Course objectives:
1.
Describe the fundamental concepts of digital image processing.
2.
Discuss the various images transforms with respect to basic functions, properties and applications.
3.
Describe with illustration the techniques of image enhancement in spatial domain.
4.
Explain with illustration the techniques of image enhancement in frequency domain
5.
Discuss image restoration methods in both spatial & frequency domains citing examples.
Course contents:
UNIT - I
Introduction: Background, digital image representation, examples of field that use DIP, fundamental steps in digital
image processing, elements of digital image processing system
Digital image fundamentals: Simple image model, Sampling and quantization, some basic relationships between
pixels, some basic transformations
UNIT - II
Image transforms: Introduction to Fourier transform, The Discrete Fourier transform, Some Properties of the 2dimensional Fourier transform, The Fast Fourier Transform, other separable image transforms, The Hotelling
transform
UNIT – III
Image enhancement in the spatial domain: Background, Basic gray level transformations, histogram processing,
enhancement using arithmetic/logic operations, basics of spatial filtering, smoothing and sharpening spatial filters,
combining spatial enhancement methods
UNIT - IV
Image enhancement in the frequency domain: Background, introduction to the frequency domain, smoothing and
sharpening frequency domain filters, homomorphic filtering, implementation, generation of spatial masks from
frequency domain specifications, color image processing
UNIT - V
Image restoration: Degradation model, Noise models, restoration in the presence of noise only (Spatial and
frequency domain filters), Diagonalisation of circulant and block circulant matrices, algebraic approach to
restoration, Inverse filtering, LMS filtering, constrained least square restoration, interactive restoration, restoration
in the spatial domain
Text Book(s):
1. R C Gonzalez & R E Woods,” Digital Image Processing” , Pearson Education,3e, 2008
18
Reference(s):
1. A K Jain, “Fundamentals of Digital Image processing “, PHI / Pearson Education, 1st edition, 2011
2. Chanda and Majumder, ”Digital Image Processing and Analysis”, PHI Learning Pvt. Ltd., 2004
Course Delivery: Regular black board teaching, Power point presentation, interaction and demonstrations.
Course outcomes:
On completion of this course, the students shall
1. Identify the basic Digital image representation and analyze the relationship between the
pixels(POa, Poe, POi,POj)
2.
Understand and apply the various image transform techniques(POa, POe)
3. Analyze and apply preprocessing techniques like enhancement and restoration for gray scale
and colour images(POa, POc, POe, POk)
Assessment and Evaluation vis-à-vis Course Outcomes:
What
To
whom
(Average of the
Direct Assessment Methods
assessment
Indirect
Assessment
Methods
best two will be
tests
Evidence
Marks
collected
30
Blue books
Course Outcomes
1,2 and 3
computed)
Others
(MCQs,
surprise test,
Spread
Students
Assignments
across the
semester before
Quiz)
SEE
Max
Thrice
Internal
CIE
Frequency
20
blue books,
answer sheets,
third test
Final
End of course
examination
Middle of the
Students feedback
course
100
-
Answer scripts
Feedback
forms
Students
End of course survey
As decided by the teacher
1,2 and 3
1and 2 Delivery of the course
1,2 and 3 Effectiveness of
End of course
-
Questionnaire
Delivery of instructions and
Assessment methods
19
CIE and SEE evaluation
S.No
Bloom’s
Category
Test 1 (30)
Test 2 (30)
Test 3 (30)
Semester-End Examination (100)
1
Remember
30
20
10
20
2
Understand
30
20
20
20
3
Apply
20
30
30
20
4
Analyze
10
20
20
20
5
Evaluate
10
10
10
10
6
Create
0
0
10
10
20
DIGITAL SIGNAL PROCESSING
Subject Code: ML503
Credits: 4:0:0
Prerequisites: Signals & Systems
Contact Hours: 56
Course Coordinator(s): Mr. Sanjay H. S, Mrs. Purnima B R
Course objectives:
1.
Enumerate the concepts of Discrete Fourier Transform and solve the same using conventional
approaches and fast fourier techniques
2.
Design of Infinite Impulse Response Filters and their implementation with realization in signal
processing
3.
Design of Finite Impulse Response Filters and their implementation with realization in signal
processing
4.
Provide an introduction to DSP processors and implementing signal processing algorithms using the
same.
Course Contents:
Unit – I
Discrete Fourier Transform: Introduction, Definition of DFT & its inverse, Properties of DFT, Convolution using
DFT, problems
Unit – II
Fast Fourier Transform: Introduction, Radix-2 decimation in time FFT algorithm, computational efficiency,
decimation in frequency FFT algorithm, IFFT algorithms, problems.
Unit – III
Introduction, Direct form realizations of IIR filters, Signal flow graphs & transposed structures, Cascade & parallel
realization of IIR filters, design of analog and digital IIR filters
Unit - IV
FIR Filter Design: Introduction, different types of windows- rectangular, Design of FIR filters using different
windows, frequency sampling design, comparison of IIR & FIR digital filters.
Unit - V
TMS320C54xProcessor: introduction to DSP processors, Architecture, addressing modes and generic instruction set
of TMS 54X processors, Load/store, Arithmetic, Logical and program control operations. Implementation of FIR
and IIR filters.
Text Books:
1.
John G Proakis & Dimitris G Manolakis, “Digital Signal Processing – Principles, Algorithms & Applications”
PHI, 3rd Edition, 2007
21
2.
3.
Processing Alan V Oppenheim & Ronald W Schafer “Discrete Time Signal”, PHI, 3rd Edition,2005
Sen M. Kuo, Woon-SengGan, “Digital Signal Processors: Architectures, Implementations and Applications”,
Pearson Education Asia, 1stEdition, 2005
Reference Books:
1.
Dr D Ganesh Rao & Vineeta P Gejji “Digital Signal Processing – A simplified approach”, Sanguine
Publications, 2010
2.
V Udayashankara “Modern Digital Signal Processing”, PHI ,Second Edition, 2012
Course Delivery:
Regular black board teaching, MATLAB demo sessions, Biopac signal acquisition demo sessions
Course outcomes:
On completion of this course, the students shall
4.
Incorporate the knowledge about Discrete Fourier Transforms and hence appreciate the efficient
methods involved to solve engineering problems. (POa,POe,POi)
5.
Comprehend and interpret the various techniques involved in signal filtering and filters available in
digital form (POa, POc)
6. Identify the basics of the generic DSP processors available and to illustrate the functioning aspects of
the same for conventional signal processing techniques (POe, POi )
Assessment and Evaluation vis-à-vis Course Outcomes:
What
To
Frequency
whom
CIE
Marks
collected
30
MCQ
Once
Standard
End of course
(Answer any 5
of 10 questions)
assessment
tests
Surprise test
Students
SEE
Direct Assessment Methods
Evidence
Thrice
(Average of the
best two will be
computed)
Once
Internal
Indirect
Assessment
Methods
Max
examination
Middle of the
course
Students feedback
End of course survey
Blue books
1&2
10
Surprise test
answer scripts
2&3
10
MCQ answer
sheets
1, 3
Answer
scripts
1, 2 and 3
100
-
Feedback
forms
-
Students
End of course
22
Course Outcomes
Questionnaire
1 & 3 Delivery of the
course
2 and 3 Effectiveness
of Delivery of
instructions and
Assessment methods
CIE and SEE evaluation
S.No
Bloom’s
Category
Test 1 (30)
Test 2 (30)
Test 3 (30)
Semester-End Examination (100)
1
Remember
20
20
20
20
2
Understand
20
20
20
20
3
Apply
20
20
20
20
4
Analyze
20
20
20
20
5
Evaluate
20
20
20
20
6
Create
0
0
0
0
23
MEDICAL PHYSICS
Sub Code: ML504
Credits: 3: 0: 0
Pre-requisite: Basic Engineering Physics
Contact Hours: 42
Course Coordinators: Mrs. Supriya Babu, Mrs. Prabhu Ravikala Vittal
Course Objectives:
1.
2.
3.
4.
5.
6.
7.
8.
9.
To describe effects of heat and cold on body and energy metabolism in the human body.
To describe pressure changes within the body and how they affect body function and related diseases.
To discuss the pumping action of the heart and how the blood pressure changes occur.
To discuss blood flow, blood pressure variations and its effects within the body.
To outline physics behind various diseases of the heart and circulatory system.
To understand the physics behind the functioning of the respiratory system from the gross to the microlevel and apply that to study the diseases that affect the lungs and the airways.
To discuss the electrical conduction system of the nerves, the brain, the heart and the eyes.
To describe the optical system of the eyes.
To discuss how the ear is able to convert sound waves into electrical current.
Course contents:
UNIT - I
Heat and cold in medicine: Introduction, Physical basis of heat and temperature, Thermography and temperature
scales, mapping of body’s temperature, heat therapy, Use of cold in medicine, Cryosurgery and safety aspects
Energy, work, power and pressure: Conservation of energy in the body, energy changes in the body, work and
power, heat losses from the body, measurement of pressure in the body, pressure inside skull, eye, digestive system,
skeleton & urinary bladder, Hyper baric Oxygen Therapy
UNIT - II
Physics of cardiovascular system: Introduction to cardiovascular system, major components of cardiovascular
system, oxygen and carbon dioxide exchange in the capillary system, work done by the heart, blood pressure and its
measurements, transmural pressure, Bernoulli’s principle applied to cardiovascular system, Blood flow-laminar &
turbulent, heart sounds, physics of some cardiovascular diseases
UNIT – III
Physics of lung and breathing: Introduction, the air ways, blood & lung interaction, Measurement of lung
volumes, pressure-air flow-volume relationship of the lungs, Physics of alveoli, breathing mechanism, air-way
resistance, Work of breathing, Physics of some common lung diseases
UNIT - IV
Electricity within the body: The nervous system & neurons. electrical potential of nerves, electromyogram,
electrocardiogram, electroencephalogram, electroretinogram, electrooculogram, magneto cardiogram & magneto
encephalogram, Electric shock, high frequency and low frequency electricity in medicine, magnetism in medicine
24
UNIT - V
Sound in medicine: General properties of sound, body as a drum, the stethoscope, production of speech
Physics of ear and hearing: The outer ear, the middle ear and the inner ear, Sensitivity of ears
Physics of eyes and vision: Focusing elements of the eye, the retina, diffraction effects of the eye, optical illusion,
defective vision & correction, color vision & chromatic aberration
Text Book(s):
1.
J. R. Cameron & J. G. Skofronick, Medical Physics , John Wiley and Sons, 1978
Reference(s):
1.
2.
Herman I.P., Physics of the Human Body, Springer Publications, 2007
Paul Davidovits “Physics in Biology and Medicine “ , Academic Press, 3rd Edition, 2007
Course Delivery:

3 Lectures each week involving power point presentation, animations/videos demonstrating the concepts
and solving numerical problems related to the concepts.

Two guest lecturers from clinical experts during the semester.
Course Outcomes:
1.
Demonstrate a systematic understanding and knowledge of the concepts of heat, energy, physics of
cardiovascular system, electrical properties of major systems of body, physic behind hearing and vision and
fundamentals aspects of nuclear medicine and its application in therapy. (POa)
2.
Demonstrate numerical/ analytical techniques applicable to the study of human cardiovascular system,
electrical system, vision and hearing. (POb, POe)
3.
Demonstrate originality of thought in the application of medical physics knowledge. (POb, POe)
4.
Be aware of the social and ethical issues that arise in medical physics. (POf)
5.
Use information and communications technology (ICT) to locate information, analyze, present data and
communicate conclusions to peers. (POg, POk)
25
Assessment and Evaluation vis-à-vis Course Outcomes:
Frequency
Max
Marks
Evidence
collected
Course Outcomes
Thrice
(Average of all
the three will
be computed)
30
Blue books
1,2 and 3
Once
15
Demonstration
3 and 5
Class
Interaction
Every Class
05
-
4
Standard
examination
End of course
(Answer any 5
of 10
questions)
100
Answer scripts
1, 2 and 3
One after each
test
-
Feedback forms
1, 2 & 3, Delivery of
the course
Questionnaire
All, Effectiveness of
Delivery of
instructions and
current assessment
methods
Direct Assessment Methods
What
Internal
assessment
tests
CIE
Students
SEE
Indirect Assessment
Methods
To whom
Students’ feedback
End of course survey
Current
Students
Current
Students
End of course
-
CIE and SEE evaluation
S.No
Bloom’s
Category
Test 1 (30)
Test 2 (30)
Test 3 (30)
Semester-End Examination (100)
1
Remember
30
20
10
20
2
Understand
30
20
20
20
3
Apply
20
30
30
20
4
Analyze
10
20
20
20
5
Evaluate
10
10
10
10
6
Create
0
0
10
10
26
CONTROL SYTEMS
Course Code: ML505
` Credits: 3:1:0
Pre-requisite: Nil
Contact Hours: 70
Course Coordinator(s): Dr. C. K. Narayanappa, Mr. Sanjay H.S
Course Objectives
1.
Discuss and determine the transfer function of a system using various approaches
2.
Evaluate the response and performance of a given system based on time domain specifications
3.
Apply different classical techniques to assess the stability and behavior of a given system
4.
Investigate the stability and performance of a system based on frequency domain specifications
5.
Establish a system model based on state space theory
Course contents:
Unit -I
Introduction to Control Systems: Introduction, Types of control systems, Design considerations, Mechanical
translation & rotational systems, Analogous circuits
Block Diagram & Signal flow graph: Introduction, Transfer function, Elements of block diagram, Closed loop
transfer function, Block diagram algebra, Signal flow graphs, Electromechanical systems, Introduction to MATLAB
Examples of Physiological control systems-Muscle stretch Reflex, Linear respiratory mechanics and muscle
model mechanics.
Unit -II
Time domain analysis of control systems: Introduction, Typical test signals, First order systems, Formal
representation of second order systems, Determination of undamped response, natural frequency & damping ratio,
Step response of second order systems, Time domain specifications, System types, Different forms of
representation, Steady state & static errors, Approximation of higher order systems, Step response of second order
systems with zeros, Generalized error series, response.
Unit -III
Stability of Linear Control systems: Introduction, BIBO stability, Relationship between characteristic equation
roots & BIBO stability, Zero input stability, Stability criterion, RH criterion, RH analysis using MATLAB
Root Locus: Introduction, The RL concept, Steps for rapid plotting, RL analysis using MATLAB
Stability Analysis of Pupillary Light reflex
Unit -IV
Frequency Domain Analysis: Correlation between time and frequency response, Frequency domain specifications
Bode Plot: Introduction, Asymptotic approximations, Bode diagram for a practical system, Determination of
transfer functions, Frequency response of a model of Circulatory control
27
Unit –V
Stability in the frequency domain: Introduction to polar plots (Inverse polar plots excluded), Mathematical
preliminaries, Nyquist Stability Criterion, Assessment of relative stability Nyquist Stability criterion
State Space Theory: Introduction, State & state variables, Selection of state variables, state model, Nonhomogenous solution, converting a transfer function to a state model
Note: MATLAB based problem solving topics are to be taught as demo sessions.
Text Books:
1.
2.
Katsuhiko Ogata, 'Modern Control Engineering', 5th edition, PHI, 2009
Nagrath & Gopal, 'Control Systems Engineering', New Age International Publications, 5th Edition, 2008
Reference Books:
1. Benjamin C Kuo, 'Automatic Control Systems', PHI, 7th Edition,1995
2. Richard C Dorf & Robert H Bishop, 'Modern Control Systems', Pearson Education LPE, 8th Edition,1998
3.Dr D Ganesh Rao & K Chennavenkateash, 'Control Engineering', Sanguine Publications, 2010 Edition
4.Michael C K Khoo, Physiological control systems, IEEE press, Prentice –Hall of India, 2001.
Course Delivery: Regular black board teaching, Power point presentation/ Demonstration of modeling
using MATLAB-SIMULINK tool /hands on SIMULINK in lab / interaction
Course outcomes:
1.
Comprehend and interpret the basic concepts of control theory to evaluate various systems. (POa, POc,
POe, POi)
2.
Infer the performance of a system using various control theory approaches. (POa,POe,POk)
3.
Analyze the stability of a given system using different techniques(POb,POk)
Assessment and Evaluation vis-à-vis Course Outcomes:
Indirect
Assessment
Methods
Direct Assessment Methods
What
CIE
To whom
Internal
assessment tests
MCQ test
Max
Marks
Thrice
(Average of the
best two will be
computed)
Once
30
Once
10
End of course
(Answer any 5 of
10 questions)
Middle of the
course
100
Standard
examination
Students feedback
-
Evidence
collected
Course Outcomes
Blue books
1,2,3
MCQ test
answer scripts
Assignment
reports
End of course
28
1,2
1,2,3
Answer scripts
1,2,3
Feedback
forms
1, 2,3 Delivery of
the course
1,2,3 Effectiveness
of Delivery of
instructions and
Assessment methods
-
Students
End of course survey
10
Students
Assignment
SEE
Frequency
Questionnaire
CIE and SEE evaluation
S.No
Bloom’s
Category
Test 1 (30)
Test 2 (30)
Test 3 (30)
1
Remember
30
30
20
30
2
Understand
30
20
30
20
3
Apply
20
30
30
20
4
Analyze
10
10
10
20
5
Evaluate
10
10
10
10
6
Create
00
00
00
00
29
Semester-End Examination (100)
BIOMATERIALS & ARTIFICIAL ORGANS
Course Code: ML506
Credits: 4: 0 : 0
Prerequisite: Nil
Contact Hours: 56
Course Coordinator(s): Prof. P. G. Kumaravelu, Mrs. Supriya Babu
Course objectives:
1.
2.
3.
4.
Understand the basic characteristics of materials used for implants and prosthetics.
Study the characteristics and usage of biomaterials for repair/ replacement of bones and joints.
Study the design considerations of artificial heart, heart valves and circulatory devices used in human
beings.
Understand the process involved in development of artificial kidney and difficulties involved in
implementation
Course contents:
UNIT – I
Introduction to biomaterial science: Characteristics of biomaterials, Metallic biomaterials, Ceramic biomaterials,
Polymeric biomaterials, Biodegradable polymeric biomaterials, Biological biomaterials
UNIT – II
Tissue replacements: Hard tissue replacements: Bone repair & joint implants, Dental Implants, Soft tissue
replacements: Blood interfacing implants, non-blood interfacing implants
UNIT – III
Introduction : Substitutive medicine, outlook for organ replacement, design consideration, evaluation process.
Artificial Heart and Circulatory assist devices: Engineering design, Engineering design of artificial heart and
circulatory assist devices, blood interfacing implants – introduction, total artificial hearts & ventricular assist
devices, vascular prostheses
UNIT – IV
Cardiac Valve Prosthesis : Mechanical valves, tissue valves, current types of prostheses, tissue versus mechanical,
engineering concerns and hemodynamic assessment of prosthetic heart valves, implications for thrombus deposition,
durability, current trends in valve design, vascular grafts-history, synthetic grafts, regional patency, thrombosis,
neointimal hyperplasia
Unit – V
Artificial Kidney: Functions of the kidneys, kidney disease, renal failure, renal transplantation, artificial kidney,
dialyzers, membranes for haemodialysis, haemodialysis machine, peritoneal dialysis equipment-therapy format,
fluid and solute removal
Text Book(s):
1.
2.
Joseph D Bronzino, 'Biomedical Engineering Handbook', , CRC press, 1995
Ratner & Hoffman, “Biomaterial Science” , Academic press, 1996
30
Reference(s):
1. David C Cooney, Marcel Dekker “Biomedical Engineering principles” Publications,1976
Course Delivery: Regular black board teaching, Power point presentation/ group discussion/ interaction
Course outcomes:
The students should be able to
1. Describe the characteristics of different materials that can be used as substitutes for failed organs in human
beings. (POa, POc, POi)
2. Understand the implementation of mechanical concepts in prosthesis. (POa, POc, POh)
3. Analyze different parameters involved in organ replacement and the safety issues involved. (POc, POf)
Assessment and Evaluation vis-à-vis Course Outcomes:
Direct Assessment Methods
What
CIE
To
whom
Internal assessment
tests
Review paper and
Presentation
Indirect
Assessment
Methods
SEE
Frequency
Max
Marks
Evidence
collected
Course Outcomes
Thrice
(Average of the
best two will be
computed)
30
Blue books
1,2 and 3
10
Paper
10
PPT
End of course
(Answer any 5
of 10 questions)
100
Answer
scripts
1, 2 and 3
Middle of the
course
-
Feedback
forms
2 & 3, Delivery of the
course
Questionnaire
1,2 and 3, Effectiveness
of Delivery of
instructions and
Assessment methods
Students
Standard examination
Once
Students feedback
Students
End of course survey
End of course
-
1, 2 and 3
CIE and SEE evaluation
S. No
Bloom’s
Category
Test 1 (30)
Test 2 (30)
Test 3 (30)
Semester-End Examination (100)
1
Remember
30
20
20
20
2
Understand
30
20
20
20
3
Apply
20
30
30
20
4
Analyze
20
30
20
20
5
Evaluate
0
0
10
10
6
Create
0
0
0
0
31
BIOMEDICAL INSTRUMENTATION LAB
Course Code: MLL507
Prerequisite: sensors & measurements lab
Course Coordinator(s): Mrs. Supriya Babu, Mr. Sanjay H. S.
Credits: 0 : 0 : 1
Contact Hours: 28
COURSE OBJECTIVES
1.
2.
3.
4.
Understand practical aspects of measurement and instrumentation.
Understand the limitations of physiological measurements.
Learn to design, build, and test biopotential amplifiers & filters.
Learn to acquire measurements and interpret data from physiological systems.
COURSE CONTENTS
Contact Hours: 2Hours/week
Session.
No
No. of sessions required: 14
Programs
1.
Introduction to art of Electronic Measurement and Equipment used.
2.
Determination of Electrode Characteristics: Polarized & Non-Polarized.
3.
Introduction to Real-time Processors.
4.
Study of Cardiovascular Physiological Measurements.
5.
Study of Respiratory Physiological Measurements.
6.
Real time monitoring of electromyography using BIOPAC.
7.
Design of various Instrumentation amplifier configurations & Characterization with Real-time processors.
8.
Design of Variable Gain Instrumentation Amplifier and Characterization with Real-time processors.
9.
Design of Active Filters for Instrumentation Amplifier.
10.
Design and verification of ECG signal conditioning circuit.
11.
Recording Audiogram for Air and Bone Conduction.
12.
Electro dermal analysis and biofeedback.
Text Book(s):
1.
John G. Webster, “Medical Instrumentation Application and Design”, John Wiley, 4th edition, New York,
2013.
2.
Introduction to Biomedical Equipment Technology by Joseph J. Carr and John M. Brown, Prentice Hall, 4th
edition, Prentice Hall; 4 edition , 2000.
Reference(s):
1.
Principles of Applied Biomedical Instrumentation, by Geddes and Baker, John Wiley, 3rd Edition, 1989.
2.
Handbook of Biomedical Instrumentation – by R. S. Khandpur, 2nd Edition, Tata McGraw Hill, 2003
32
COURSE OUTCOMES
On completion of this course, the students shall
1.
Apply the practical aspects of measurements to cardiovascular, respiratory, muscular, audiometric and
Electrodermal measurements. (POb, POc)
Design a relevant amplifier or filter for the given characteristics and limitations. (POb, POc)
Work in Multi-disciplinary Teams: Learn written and oral communication skills necessary to present
information learned from laboratory sessions. Learn how to work in a group to attain a common goal.
(POd, POh, POl)
2.
3.
Course Delivery: Regular black board teaching, Power point presentation, Demonstration, group
discussion/ interaction, Workshop/ Tutorial
Assessment and Evaluation vis-à-vis Course Outcomes:
Indirect
Assessment
Methods
CIE
To whom
Frequency
Max
Marks
Evidence
collected
10
Observation
book
1, 2 & 3
Record
1, 2
Conduction
Every session
Record
Every session
10
Every session
05
Lab test
Once
25
Standard
examination
End of course
Viva
SEE
Direct Assessment
Methods
What
Students
Course Outcomes
1
Blue books
1, 2
Answer scripts
1, 2
Feedback forms
1 & 2 Delivery of the
course
Questionnaire
1, 2, & 3 Effectiveness
of Delivery of
instructions and
Assessment methods
50
Middle of the
course
Students feedback
-
Students
End of course survey
-
End of course
CIE and SEE evaluation
S.No
Bloom’s
Category
Lab
evaluation
(25)
Lab test
(25)
Semester-End Examination (50)
1
Remember
20
10
20
2
Understand
30
20
20
3
Apply
20
30
20
4
Analyze
10
20
20
5
Evaluate
10
10
10
6
Create
0
10
10
33
DIGITAL IMAGE PROCESSING LAB
Course code: MLL508
Credits: 0:0:1
Prerequisite: Nil
Contact Hours: 28
Course Coordinator(s): Mr. Basavaraj Hiremath, Dr. C.K.Narayanappa
Course objectives:
1.
2.
3.
To implement the fundamental concepts of digital image processing.
To provide students an exposure to a broad range of image processing techniques and formats: i.e. exposure
to digital image formats, and a working familiarity with digital image manipulations (filtering, denoising,
restoration).
To implement image enhancement and restorations techniques for a digital image.
4.
To expose students to current technologies and issues that are specific to image processing systems
Course Contents:
1.
Simulation and display of an image, negative of an image (Binary & Gray Scale)
2.
Implementation of relationships between pixels
3.
Implementation of transformations of an image
4.
Contrast stretching of a low contrast image,
5.
Intensity slicing, power law transformations
6.
Display of bit planes of an image
7.
Histogram, and histogram equalization
8.
Display of FFT (1-D & 2-D) of an image
9.
Display of DCT (1-D & 2-D) of an image
10. Computation of mean, standard deviation and correlation co-efficient of the given images
11. Implementation of image smoothening filters (Low pass and Median filters)
12. Implementation of image sharpening filters (High pass and derivative filters)
13. Implementation of homomorphic filtering technique for image enhancement
14. Implementation of image restoring techniques
Note: The above experiments are to be conducted Using MATLAB/SCI lab
34
Text Book(s):
1. R C Gonzalez & R E Woods, Digital Image Processing , Pearson Education,3e, 2008
Reference Book(s):
1.
2.
A K Jain, Fundamentals of Digital Image processing , PHI / Pearson Education, 1st edition, 2011
Chanda and Majumder, Digital Image Processing and Analysis, PHI Learning Pvt. Ltd., 2004
Course Delivery: White board teaching, demo sessions using MATLAB-image processing tool box, interaction.
Course outcomes:
The students should be able to use the MATLAB-image processing tool box to
Implement the basic representation of a digital image and basic relationship between the
pixels.(POa,POb,POd,POe,POk)
2. Demonstrate basic image transforms for a digital image. (POa,POd)
3. Apply the various image enhancement techniques.(POb,POe,POk)
4. Demonstrate the image restoration techniques.(POa,POd,POe)
1.
Assessment and Evaluation vis-à-vis Course Outcomes:
Indirect
Assessment
Methods
To whom
Frequency
Max
Marks
Evidence
collected
Course Outcomes
Once
25
Blue books
1, 2, 3 & 4
Execution
Every session
10
Observation
book
1, 2, 3, & 4
Record
Every session
10
Lab Record
1, 2, 3, & 4
Viva
Every session
05
Attendance
register
1, 2, 3, & 4
Lab exam
End of course
50
Answer scripts
1, 2, 3, & 4
Students feedback
Middle of the
course
-
Feedback forms
1, 2, Delivery of the
course
Questionnaire
1, 2, 3 & 4 Effectiveness
of Delivery of instructions
and Assessment methods
CIE
Lab test
Students
SEE
Direct Assessment Methods
What
Students
End of course survey
End of course
35
-
CIE and SEE evaluation
S.No
Bloom’s
Category
Class
evaluation
(25)
Lab test (25)
Semester-End Examination (50)
1
Remember
20
10
20
2
Understand
30
20
20
3
Apply
20
30
20
4
Analyze
10
20
20
5
Evaluate
10
10
10
6
Create
10
10
10
36
DIGITAL SIGNAL PROCESSING LAB
Subject Code: MLL509
Prerequisites: Signals & Systems
Course Coordinator(s): Mr. Sanjay H. S.
Credits: 0:0:1
Contact Hours: 28
Course objectives:
1.
To understand the usage of MATLAB tool
2.
To find the Fourier transforms using MATLAB
3.
Design various types of analog and digital filters using MATLAB
4.
To realize the importance of TMS processors in signal processing applications
Experiments:
1. Basic operations using MATLAB.
2. To find the DFT and prove the properties of DFT.
3. Linear and circular convolution of two sequences.
4. Analog IIR LPF filter design.
5. Analog IIR BPF filter design.
6. Analog IIR HPF filter design.
7. Digital IIR LPF filter design using BLT and IIT.
8. Digital IIR BPF filter design using BLT and IIT.
9. Digital IIR HPF filter design using BLT and IIT.
10. Realization of FIR filters using windows.
COURSE OUTCOMES
On completion of this course, the students shall
1.
Realize the importance of MATLAB as a potential tool for signal processing applications (.POa.POb, Poe)
2.
Design various filters for signal processing using MATLAB. (POc, Poi)
3.
Introduce the usage of DSP processors for signal processing (Poe)
37
COURSE ASSESSMENT AND EVALUATION:
Indirect Assessment
Methods
CIE
To whom
Frequency
Max
Marks
Evidence
collected
Course Outcomes
Conduction
Every
session
10
Observation
book
1, 2, &3
Record
Every
session
10
Record
1, 2
Every
session
05
Lab test
Once
25
Blue books
1, 2
Standard
examination
End of
course
50
Answer scripts 1, 2
Middle of
the course
-
Feedback
forms
1 & 2 Delivery of the
course
Questionnaire
1, 2, & 3
Effectiveness of
Delivery of
instructions and
Assessment methods
Students
Viva
SEE
Direct Assessment Methods
What
Students feedback
Students
End of
course
End of course survey
-
CIE and SEE evaluation
S.No
Bloom’s
Category
Lab
evaluation
(25)
Lab test
(25)
Semester-End Examination
(50)
1
Remember
30
30
30
2
Understand
30
30
30
3
Apply
30
30
30
4
Analyze
05
05
05
5
Evaluate
05
05
05
6
Create
00
00
00
38
DIAGNOSTIC AND THERAPEUTIC EQUIPMENTS
Subject Code: ML601
Credits: 4:0:0
Pre-requisites: Biomedical Instrumentation
Contact Hours: 56
Digital Signal Processing
Course Coordinator(s): Mrs. Supriya Babu, Mrs. Prabhu Ravikala Vittal
Course Objectives
1.
To develop an understanding of cardiac diagnostic equipments used in analyzing various cardiac diseases.
2.
To develop an understanding of the use of Defibrillator in treating cardiac arrhythmias.
3.
To develop an understanding of Neurological equipments in analyzing electrical signals from brain.
4.
To develop an understanding of use of EEG and EMG Biofeedback as a therapeutic technique.
5.
To develop an understanding of various EMG waveforms and their application in analyzing various
diseases.
6.
To develop an understanding of various respiratory diagnostic and therapeutic equipments for analyzing
various lung disorders.
7.
To develop an understanding of clinical laboratory tests as an adjunct technique in analyzing various
diseases.
8.
To develop an understanding of basic Biotelemetric concepts.
9.
To introduce students to various therapeutic devices and their applications.
Course Contents:
UNIT -1
Cardiac Equipments: Normal and Abnormal ECG Waves, Electrocardiograph – Functional blocks, Heart rate
monitor, Arrhythmia monitor, Holter Monitor, Phonocardiography, Photoplethysmography.
Cardiac Pacemaker- Internal and External Pacemaker–Batteries, AC and DC Defibrillator- Internal and External
UNIT -II
Neurological Equipments: Clinical significance of EEG, Multi channel EEG recording system, Epilepsy, Evoked
Potential recording system, MEG (Magneto Encephalon Graph). EEG Bio Feedback Instrumentation.
Muscular Equipments: Sliding theory of contraction, recording and analysis of EMG waveforms, fatigue
characteristics, Muscle stimulators, nerve stimulators, Nerve conduction velocity measurement, EMG Bio Feedback
instrumentation.
UNIT -III
Respiratory System: Instrumentation for measuring the mechanics of breathing – Spirometer, pneumotachometer,
Whole body plethysmography, Apnea Monitor. Ventilators – Types, Humidifiers, Nebulizers, Inhalators
39
UNIT -IV
Clinical Laboratory Tests: Blood Tests, Flame Photometer, Colorimeter, Blood Cell Counters, Blood Gas
Analysis, Chromatograph, Automated Chemical Analyzers, Fluorometry, Turbidimetry and Nephelometry
Biotelemetry: Radio Telemetry (single, multi), Portable and Landline Telemetry unit, Applications in ECG and
EEG Transmission.
UNIT -V
Therapeutic Devices: Hemodialysis, lithotripsy, Stimulators, Baby incubators, radiant warmer and photo-therapy
unit. Physiotherapy devices.
Text Books
1.
Joseph J. Carr and John M. Brown, “Introduction to Biomedical equipment technology”, Pearson
education, 2003.
2.
John G. Webster, “Medical Instrumentation Application and Design, third edition”, Wiley India Edition,
2007.
Reference Books
1.
Edited by Joseph D. Bronzino, Medical Devices and Systems - The Biomedical Engineering Handbook,
Third Edition – CRC Press, 2006.
2.
Myer Kutz, “Standard Handbook of Biomedical Engineering & Design”, McGraw Hill, 2009.
3.
Principles of Applied Biomedical Instrumentation, by Geddes and Baker, John Wiley, 3rd Edition, 1989.
4.
Leslie Cromwell, “Biomedical Instrumentation and Measurement”, Pearson Education, New Delhi, 2007.
Course Outcomes
1.
2.
3.
Analyze biosignals like ECG, EEG, EMG and respiratory signals using various diagnostic equipments.
(POa)
Correlate the clinical lab test results with that of the diagnostic equipment results and arrive at specific
conclusions using case studies. (POb, POe)
Relate the therapeutic application of the devices studied to various physical diseases and disorders. (POa,
POe)
40
Course Assessment and Evaluation:
What
Internal
assessment
tests
Direct Assessment Methods
Course Outcomes
30
Blue books
1,2 and 3
Once
10
Presentation
2 or 3
Once
10
Report
2 or 3
End of course
100
Answer
scripts
1, 2 and 3
Frequency
Students
Thrice
Max
Marks
(Average of the
best two will be
computed)
CIE
Case Study –
presentation
and report
SEE
Evidence
collected
To
whom
Standard
examination
(Answer any 5 of
10 questions)
Students’ feedback
Current
Students
One after each test
-
Feedback
forms
1, 2 & 3, Delivery of
the course
End of course survey
Current
Students
End of course
-
Questionnair
e
1,2 and 3,
Effectiveness of
Delivery of
instructions and
current assessment
methods
CIE and SEE evaluation
S.No
Bloom’s Category
Test 1
Test 2
Test 3
Semester-End Examination
1
Remember
10
10
10
20
2
Understand
30
20
20
20
3
Apply
40
40
30
30
4
Analyze
10
10
20
20
5
Evaluate
10
10
10
10
6
Create
00
00
10
00
41
MEDICAL IMAGE PROCESSING
Subject Code: ML 602
`Credits: 4:0:0
Prerequisite: Digital image Processing
Contact Hours : 56
Course Coordinator(s): Mr.Basavaraj Hiremath, Dr. C. K. Narayanappa
Course objectives:
1.
2.
3.
4.
5.
Review the fundamentals of Image processing and relate the same to medical applications.
Discuss various algorithms used in morphological image processing.
Design and implement various image segmentation algorithms for medical images.
Describe the different schemes for image compression and their trade-offs.
Explain the different image representation, description and recognition schemes for medical images
Course contents: Course contents:
Review : The nature of biomedical images, Removal of artifacts-characterization of artifacts, space
frequency domain filters
domain and
UNIT - I
MORPHOLOGICAL IMAGE PROCESSING: preliminaries, dilation and erosion, opening and closing, the Hitor-miss transformation, some basic morphological algorithms, extensions to gray scale images
UNIT - II
DETECTION OF REGIONS OF INTEREST: Thresholding and Binarization - Detection of Isolated Points and
Lines-Edge Detection: convolution mask operators, LoG, edge linking, Segmentation and Region Growing Detection of Objects of Known Geometry, Application-Detection of the breast boundary in mammograms
UNIT - III
IMAGE CODING AND DATA COMPRESSION: Considerations Based on Information Theory-Fundamental
Concepts of Coding - Direct Source Coding-Application: Source Coding of Digitized Mammograms – The Need for
Decorrelation-Transform Coding-Interpolative coding -Predictive Coding, Image Coding and Compression
Standards- - Application: Teleradiology
UNIT - IV
REPRESENTATION & DESCRIPTION: Representation, boundary descriptors, regional descriptors, use of
principal components for description, relational descriptors
Application- Shape analysis of Breast Masses and tumors
UNIT - V
OBJECT RECOGNITION: Patterns and pattern classes, recognition based on decision-theoretic methods,
structural methods. Application- Classification of Breast Masses and tumors via Shape analysis
42
Text Book(s):
1. R C Gonzalez & R E Woods, Digital Image Processing , Pearson Education,3e, 2008
2. Rangaraj M. Rangayyan, Biomedical Image Analysis, CRC Press,2004
Reference Book(s):
1. A K Jain, ‘ Fundamentals of Digital Image processing , PHI / Pearson Education, 1st edition, 2011
2. Chanda and Majumder, Digital Image Processing and Analysis, PHI Learning Pvt. Ltd., 2004
3. Wolfgang Birkfellner, Applied Medical Image Processing: A Basic Course, 2010
4. Taylor & Francis, Richard A. Robb “Biomedical Imaging, Visualization, and Analysis”, John Wiley & Sons,
1999.
Course Delivery: Regular black board teaching, Power point presentation, interaction and demonstrations.
Course outcomes:
On completion of this course, the students shall
1.
Understand and apply preprocessing techniques used for medical images (Morphological operations
and compression (POa, POc, POe POk)
2.
Understand and apply image segmentation techniques used for medical images POa,POc)
3.
Demonstrate the various representation, description and recognition techniques
(POa,POc,Pod,POe,POh)
Assessment and Evaluation vis-à-vis Course Outcomes:
To whom
Evidence
collected
Course Outcomes
30
Blue books
1,2 and 3
Assignment
Once
10
Assignment
reports
1,2
MCQ
Once
10
MCQ answer
sheet
1,2 and 3
Final examination
End of course
100
Answer scripts
1,2 and 3
Middle of the course
-
Feedback forms
1, 2 Delivery of the course
End of course
-
Questionnaire
1,2 and 3 Effectiveness of
Delivery of instructions
and Assessment methods
CIE
Internal
assessment tests
Thrice
(Average of the best
two will be
computed)
Students feedback
Indirect
Assessment
Methods
Max
Marks
Frequency
Students
SEE
Direct Assessment Methods
What
Students
End of course survey
43
CIE and SEE evaluation
S.No
Bloom’s Category
Test 1
Test 2
Test 3
Semester-End Examination
1
Remember
10
10
10
10
2
Understand
30
20
20
20
3
Apply
40
40
30
30
4
Analyze
05
10
20
20
5
Evaluate
10
10
10
10
6
Create
05
00
10
10
44
BIOMEDICAL SIGNAL PROCESSING
Subject Code: ML603
Credits: 4:0:0
Prerequisites: Digital Signal Processing
Contact Hours: 56
Course Coordinator(s): Mr. Sanjay H S, Mrs. Purnima B R
Course objectives:
1.
2.
3.
4.
5.
To study and analyze the nature of Biomedical signals and their basic concepts
To apply digital filter to remove noise and artifacts from Biomedical signals
To study the fundamentals Adaptive filtering techniques and their biomedical applications
To analyze the EEG and ECG signals with respect to events and complexity
To Understand the significance of spectral analysis of biomedical Signals
Course Contents
UNIT - I
Nature of Biomedical Signals& Analysis of Non Stationary signals:
The nature of Biomedical Signals: Need for biomedical signal processing ,sources of Biomedical Signals
(ECG,EEG,PCG,EMG,Carotid Pulse) ,objectives of Signal analysis , Difficulties in signal analysis ,signal modeling
framework ,computer aided diagnosis . Heart sounds and murmurs,EEG Rhythms and Waves, Time variant Systems :
Characterization of non stationary signals and Dynamic systems.
UNIT – II
Filtering for noise & artifacts removal: Physiological interference
stationary process Illustration of noise removal with case studies time and frequency domain filtering
filtering ,homomorphic filtering.
optimal
UNIT – III
Adaptive Filters, Adaptive Noise Canceller: Introduction, Principle noise canceller model
Biomedical applications: 50 Hz Noise cancelling, Enhancement of fetal ECG
Adaptive Line Enhancer: Principle, Biomedical applications: Enhancement of Ventricular late potentials
Phase sensitive detection, AM Modulation, Phase Sensitive detectors.
UNIT – IV
Event Detection : Detection of events & waves : Derivative Based methods for QRS detection, Pan –Tompkins
algorithm for qrs detection, Detection of Dicrotic notch, Correlation Analysis of EEG channels
Data Reduction techniques: TP, AZTEC &, FAN algorithm & Huffman Coding
UNIT - V
Spectral Analysis of Biomedical Signals
Data windowing, power spectrum, Power spectral density, Estimation of the PSD function: The Periodogram, Need for
averaging, Use of windows, Autocorrelation function, Synchronized averaging of PCG spectra Window functions,
Biomedical application: Analysis of Heart rate Variability PSD method, ECG interpretation, ST Segment analyzer.
45
Text Book(s):
1.
2.
Metin Akay “Biomedical Signal Processing”, Academic Press, 1994
Rangaraj M Rangayyan ,”Biomedical Signal Analysis” –, IEEE Press, 2001
Reference(s):
1.
2.
Biomedical Digital Signal Processing – Willis J Tomkins, PHI,1993
Biosignal & Biomedical Image Processing – John L Semmlow, Dekker Media Publishing, 2004
Course Delivery:
Black board teaching, Power Point presentations, BIOPAC signal acquisition demo, RMS EEG acquisition demo
Course outcomes:
On completion of this course, the students shall
1.
Demonstrate an understanding of and to apply these topics / techniques to solve the given problems.(POa
PO,b,POe,POi)
2.
Understand the analysis of digital filters to remove noise and artifacts in EEG & ECG signals for various
applications in Biomedical signal processing and healthcare diagnostics. (POc,POe)
3.
To analyze the various events and waveform complexities involved in EEG & ECG signals.(POi)
4.
Perform the spectral analysis of biomedical signals. (POa,POc,POk,POl).
46
Assessment and Evaluation vis-à-vis Course Outcomes:
What
To
whom
CIE
Direct Assessment Methods
Internal
assessment tests
Frequency
Max
Marks
Thrice
(Average
of the best
two will be
computed)
30
Once
Surprise test
10
Students
Indirect Assessment
Methods
SEE
MCQ
Standard
examination
Students feedback
Once
10
End of
course
(Answer
any 5 of 10
questions)
100
Middle of
the course
-
Evidence
collected
Course Outcomes
Blue books
1, 2 & 3
Surprise test
answer
scripts
1, 4
MCQ answer
sheets
1, 2
Answer
scripts
1, 2, 3, & 4
Feedback
forms
1 & 4 Delivery of the
course
Questionnaire
1, 2, 3 & 4
Effectiveness of
Delivery of instructions
and Assessment
methods
Students
End of course survey
End of
course
CIE and SEE evaluation
S.No
Bloom’s Category
Test 1
Test 2
Test 3
Semester-End Examination
1
Remember
20
10
10
10
2
Understand
20
20
10
20
3
Apply
20
30
20
30
4
Analyze
20
20
30
20
5
Evaluate
20
10
20
10
6
Create
00
10
10
10
47
BIOMECHANICS
Subject Code: ML604
Prerequisites: NIL
Course Coordinator(s): Mr. Sanjay H S, Dr. N Sriraam
Credits: 4:0:0
Contact Hours: 56
Course Objectives
1.
Reminisce the application of mechanical concepts in healthcare
2.
Analyze the composition of the blood and its importance from the view of fluid mechanics
3.
Understanding of the working of human body from a mechanical perspective
4.
Appreciate the importance of biomechanics in the field of sports
5.
Accent the ergonomical aspects and relate the same to biomechanics
COURSE CONTENTS
UNIT 1
Introduction to Biomechanics
Fundamentals of biomechanics: key mechanical concepts, nine fundamentals, principles for application of
biomechanics, Linear & angular kinematics: linear motion, angular motion, coordination continuum principle,
linear & angular kinetics: Laws of kinetics, Newtons laws of motion, impulse-momentum relationship, workenergy relationship, torque, angular inertia, Newtons angular analogues, principle of balance
Unit 2
Biofluid mechanics
Introduction: Fluids, fluid forces, principle of spin, Hematology & blood rheology: introduction, elements of
blood, blood characteristics, viscosity measurement, erythrocytes, leukocytes, blood types, plasma, Bioviscoelastic
fluids: protoplasm, saliva, synovial fluid
Unit 3
Human body biomechanics
Anatomical description of human body: key anatomical concepts, muscle actions, limitations of anatomical
analysis, range of motion, force-motion principle, Musculoskeletal system: Tissue loads, response of tissues to
forces, biomechanics of passive muscle tendon units, biomechanics of the bone, mechanical characteristics of
muscles, stretch-shortening cycle, neuromuscular control , Biomechanics of walking: Normal gait and gait cycle,
gait analysis
Unit 4
Sports Biomechanics
Basics of Sports Biomechanics: Position, velocity & acceleration, projectile motion, hydrodynamics, friction,
magnus effect, collision, Physical education: qualitative analysis of kicking, batting, catching and basketball free
throw, Coaching: quantitative analysis of throwing, dribbling, catching and conditioning, recruitment
Unit 5
Ergonomical Biomechanics
Ligament sprains, bone mechanics, muscle mechanics, whiplash injuries, workplace issues in disk degeneration,
posture & work seating, climbing, slips & falls
48
Text Book(s):
1. Duane Knudson, “Fundamentals of Biomechanics”, Springer , 2nd edition (2007)
References:
1.Y. C. Fung, “Biomechanics”, 2nd edition, Springer publications, (2010)
2.Anthony Blazevich, “Sports Biomechanics-The basics”, A&C black publications (2007)
3.Lee Waite, Jerry Fine “Applied biofluid mechanics”, McGrawhill publications (2007)
Course Delivery:
Regular blackboard teaching, PowerPoint presentations, Group discussions/Interactions
COURSE OUTCOMES
1.
2.
3.
4.
Recall the basic mechanical concepts to realize the working of a human body from a mechanical perspective.(POa
POb,POkPOl)
Interpret the fluid mechanics concepts to realize the functioning of various fluids present in human body. (POa,POe)
Understand and apply the basics of biomechanics to illustrate the biomechanics of the human body.(POa,POc,POi)
Correlate the biomechanical aspects of human body to evaluate various factors involved in sports and
ergonomics.(POi,POj,POk)
Assessment and Evaluation vis-à-vis Course Outcomes:
Indirect
Assessment
Methods
To whom
CIE
Internal assessment
tests
Surprise test
Students
MCQ
SEE
Direct Assessment Methods
What
Standard examination
Students feedback
Students
End of course survey
Frequency
Max
Marks
Evidence
collected
Course Outcomes
Thrice
(Average of
the best two
will be
computed)
30
Blue books
1& 2 & 3
Once
10
Surprise test
answer scripts
1, 2
Once
10
MCQ answer
sheets
2, 3
End of
course
(Answer any
5 of 10
questions)
100
Answer scripts
1&2 &3
Middle of
the course
-
Feedback forms
1, 2 Delivery of the
course
Questionnaire
1 & 2 Effectiveness of
Delivery of
instructions and
Assessment methods
End of
course
49
CIE and SEE evaluation
S.
No.
Bloom’s Category
Test 1
Test 2
Test 3
Semester-End Examination
1
Remember
20
10
10
10
2
Understand
20
20
10
20
3
Apply
20
30
20
30
4
Analyze
20
20
30
20
5
Evaluate
20
10
20
10
6
Create
00
10
10
10
50
DIAGNOSTIC AND THERAPEUTIC EQUIPMENT LAB
Subject Code: MLL607
Credits: 0:0:1
Pre-requisites: Physiology and Measurements Lab,
Contact Hours: 28
Biomedical Instrumentation Lab
Course Coordinator(s): Mrs. Supriya Babu, Mrs. Prabhu Ravikala Vittal
Course Objectives
1.
To record and analyze biosignals like pulse wave, ECG, EEG, EOG and EMG.
2.
To study diagnostic equipments like Spirometer in analyzing systems like respiratory system.
3.
To learn to multiplex different signals for transmission and telemedicine purpose.
4.
To learn to associate laboratory tests with other measurements in making a diagnosis.
5.
To study therapeutic parameters of the instruments like Pacemakers, Defibrillators, Shortwave Diathermy,
Electrosurgical Unit and Biofeedback.
COURSE CONTENTS
1.
Recording and Analysis of Pulse wave.
Discussion about Arterial Pulse wave and Photoplethysmography and various diagnostic uses of Pulse
wave analysis.
2.
Recording & Analysis of ECG signals*.
a.
Normal recording – Sitting position, Supine Position
b.
ECG Dive Reflex – Induced Bradycardia
3.
Recording of ECG Signal and study of statistical measures, geometric measures, and spectral analysis in
heart rate variability studies.
4.
Study of Defibrillators.
5.
Recording & Analysis of EEG signals*.
6.
7.
a.
Hyperventilation
b.
Critical thinking
c.
Photic Stimulation
Recording & Analysis of EMG signals*.
a.
Investigate the electrical activity of different muscles as they contract with varying degrees of
force.
b.
Design experiments by selecting muscles to record EMGs from and creating activities those
muscles will perform.
Saccade Study - Electrooculography (EOG)
a.
Observe the constant saccade durations for a variety of given angular displacements
51
b.
Design experiment to demonstrate the difference between eye movement based on actual visual
stimulation and imagined recreations
8.
Study of pulmonary function test using Spirometer.
9.
Study of Patient Monitoring Systems.
10. Study of Clinical Laboratory tests with spectrophotometer as example.
11. Multi-channel biotelemetry (ECG, Pulse and PCG) using digital modulation.
12. Study of Ventilator as therapeutic Tool.
* Analysis using SCILAB / MATLAB or equivalent
Text Books
1.
Joseph J. Carr and John M. Brown, “Introduction to Biomedical equipment technology”, Pearson
education, 2003.
2.
John G. Webster, “Medical Instrumentation Application and Design, third edition”, Wiley India Edition,
2007.
Reference Books
1.
Myer Kutz, “Standard Handbook of Biomedical Engineering & Design”, McGraw Hill, 2009.
2.
L.A Geddes and L. E. Baker, “Principles of Applied Biomedical Instrumentation”,2004
3.
Leslie Cromwell, “Biomedical Instrumentation and Measurement”, Pearson Education, New Delhi, 2007.
Course Delivery:

One lab of 2 hours each in which recording of signals and the significance of recording methods are taught.
In addition students will be required to analyze the signals based on the methods taught in theory class.

Case studies are given for a group of 3 students and analysis will be done by that group for the given case.
Course Outcomes: At the end of the course the students should be able to:
1.
Do a basic level of analysis of biosignals like Pulse wave, ECG, EEG, EMG and Spirogram in diagnosing
disease states. (POa, POb, Pod, POe)
2.
Appreciate the value of laboratory tests in association with other measurements in making a diagnosis.
(POb, POd, POe)
3.
Recognize various therapeutic parameters and calculate the same for specific therapy. (POa, POb, POd,
POe, POk)
52
Assessment and Evaluation vis-à-vis Course Outcomes:
What
CIE
To whom
Conduction,
Observation
and Record
Test based on a
Case Study recording and
analysis
SEE
Standard
practical
examination
Students’ feedback
Direct Assessment Methods
Students
End of course survey
Current
Students
Current
Students
Frequency
Max
Marks
Evidence collected
Course Outcomes
Average of all the
experiments will
computed)
30
Observation and
record books
1,2 and 3
Once
10 +
10
Recording and
written analysis
1 or 2 or 3
End of course(Case
Study - recording and
analysis)
100
Recording and
written analysis
1 or 2 or 3
One after three labs
-
Feedback forms
1, 2 & 3, Delivery of
the course
Questionnaire
1,2 and 3,
Effectiveness of
Delivery of
instructions and
current assessment
methods
End of course
-
CIE and SEE evaluation
S.No
Bloom’s Category
Conduction,
Observation and
Record
Test based on a Case
Study - recording and
analysis
Semester-End Examination
1
Remember
20
20
20
2
Understand
20
20
20
3
Apply
20
30
30
4
Analyze
20
20
20
5
Evaluate
20
10
10
6
Create
00
00
00
53
MEDICAL IMAGE PROCESSING LAB
Course code: MLL608
Credits: 0:0:1
Prerequisite: Digital Image Processing Lab
Contact Hours: 28
Course Coordinator(s): Mr. Basavaraj Hiremath, Dr. C. K. Narayanappa
Pre-requisites: Digital Image Processing Lab
Course objectives:
1.
2.
3.
4.
5.
To display the different Medical Image modalities.
Perform image manipulations (filtering, compression, edge detection).
To implement Morphological Image Processing
To apply various representation schemes.
To expose students to current technologies and issues that are specific to image processing systems
Course Contents:
1.
2.
3.
4.
5.
6.
7.
8.
9.
10.
11.
12.
13.
14.
Display of different Medical Image modalities (XRAY,CT, MRI, US)
Medical Image Denoising
Medical Image smoothing
Medical Image sharpening
Image Compression using DCT, Huffman Coding.
Image Compression using arithmetic Coding
Morphological Image Processing – Dilation and Erosion
Morphological Image Processing – opening and closing
Morphological Image Processing – some basic morphological algorithms
Image Segmentation using edge/ boundary detection and Thresholding.
Image Segmentation using region-oriented segmentation techniques
Representation & Boundary and regional description
Case study: Application- representation and description
Case study: Application- recognition.
Note: The above experiments are to be conducted Using MATLAB/ITK-VTK
Text Book(s):
1. R C Gonzalez & R E Woods, Digital Image Processing , Pearson Education,3e, 2008.
2..Rangaraj M Rangayyan, Biomedical Image Analysis, The BIOMEDICAL ENGINEERING Series, CRC Press,
2005
Reference(s):
1 .A K Jain, Fundamentals of Digital Image processing , PHI / Pearson Education, 1st edition, 2011
2.Chanda and Majumder, Digital Image Processing and Analysis, PHI Learning Pvt. Ltd., 2004
Course Delivery: White board teaching, demo sessions using MATLAB-image processing tool box,
interaction.
54
Course outcomes:
The students should be able to use the MATLAB-image processing tool box to
1.
To display the different Medical Image modalities.(POa,POb,POd,POe,POk)
2.
Estimate the compression ratio for the given image using different algorithms. (POa,POb,POd,POk)
3.
Apply the various morphological image processing operations.(POa,POb,POd,POe,POk)
4.
Demonstrate the image representation schemes. (POa,POd,POe,POk)
Assessment and Evaluation vis-à-vis Course Outcomes:
Indirect Assessment Method
CIE
To whom
Frequency
Lab test
Once
Execution
Every session
Record
Every session
Max
Evidence
Marks
collected
25
Blue books
10
Observation
Every session
10
Lab Record
05
Attendance
Course Outcomes
2, 3 & 4
book
Students
Viva
2, 3, & 4
1, 2, 3, & 4
2, 3, & 4
register
50
SEE
Direct Assessment Methods
What
Lab exam
End of course
Answer scripts
Middle of the
Students feedback
-
course
Feedback forms
-
1, 2, 3 & 4 Delivery of
the course
1, 2, 3 & 4
Students
End of course survey
2, 3, & 4
Effectiveness of
End of course
Questionnaire
Delivery of instructions
and Assessment
methods
CIE and SEE evaluation
S.No
Bloom’s Category
Test 1
Test 2
Test 3
Semester-End Examination
1
Remember
10
10
10
10
2
Understand
20
20
10
20
3
Apply
20
30
20
30
4
Analyze
20
20
30
20
5
Evaluate
20
10
20
10
6
Create
10
10
10
10
55
BIOMEDICAL DIGITAL SIGNAL PROCESSING LAB
Subject Code: MLL609
Prerequisites: Digital Signal Processing Lab
Course Coordinator(s): Mr. Sanjay H S, Mrs. Purnima B R
Credits: 0:0:1
Contact Hours: 28
Course Objectives:
1. To apply the concepts of signal processing to Biomedical Signals using Matlab tools
2. To study the filtering applications for biomedical signals
3. To implement the event detection and waveform complexity algorithms
4. To perform spectral analysis of different biomedical signals
EXPERIMENTS:
1.
Power Spectrum & Power spectral density
2.
Direct FFT & windowing
3.
Parametric & nonparametric estimation
4.
Time frequency techniques
5.
Cepstral analysis
6.
Optimal signal processing
7.
Adaptive Noise Cancelling
8.
Realization of Notch Filter
9.
Signal Averaging of ECG
10. Event detection
Note: The above problems are to be solved using MATLAB
Course delivery:
MATLAB demo and execution, Biopac signal acquisition, RMS-EEG signal acquisition
Course Outcomes:
On completion of this course, the students shall be able to implement the following using MATLAB tool
1.
Demonstrate an understanding of and to apply these topics / techniques to solve the given problems.
(POa,POb,POi,POl)
2.
Understand the analysis of digital filters to remove noise and artifacts in EEG & ECG signals for various
applications in Biomedical signal processing and healthcare diagnostics.(POc,POe)
3.
To analyze the various events and waveform complexities involved in EEG & ECG signals.(POb,POj)
4.
To process biomedical signal using adaptive techniques. (POa,POk)
56
Assessment and Evaluation vis-à-vis Course Outcomes:
Frequency
Max
Marks
Evidence
collected
Course Outcomes
Conduction
Every
session
10
Observation
book
1, 2 & 3
Record
Every
session
10
Record
1, 4
Viva
Every
session
05
Lab test
Once
25
Blue books
1, 2
Standard examination
End of
course
50
Answer scripts
1, 2, 3, & 4
Middle of
the course
-
Feedback forms
1 & 4 Delivery of the
course
Questionnaire
1, 2, 3 & 4
Effectiveness of
Delivery of
instructions and
Assessment methods
Indirect Assessment
Methods
CIE
SEE
Direct Assessment Methods
What
To whom
Students
Students feedback
Students
End of course survey
End of
course
-
CIE and SEE evaluation
S.No
Bloom’s Category
Test 1
Test 2
Test 3
Semester-End Examination
1
Remember
20
10
10
10
2
Understand
20
20
10
20
3
Apply
20
30
20
30
4
Analyze
20
20
30
20
5
Evaluate
20
10
20
10
6
Create
00
10
10
10
57
PROGRAMMABLE SYSTEM ON CHIP (PSOC)
Subject Code: MLPE11
Prerequisites: Microcontrollers
Course coordinator(s): Mrs. Prabhu Ravikala Vittal, Mrs. Uma Arun
Credits: 3:0:0
Contact hours: 42
Course objectives:
1.
2.
3.
4.
5.
6.
Understand the concept of system on chip & differentiate between PSOC & MCUs
To make study and familiarize PSOC architecture.
To understand PSOC structure, learn subsystem design.
To get the comparison between MSP and PSOC.
To get the knowledge of few serial and parallel interfacing circuits.
To apply the knowledge of above in designing application.
Course contents:
UNIT - I
Introduction to PSoC: PSoC Technology, Programmable Routing and Interconnect, Configurable Analog and
Digital Blocks, CPU Sub system , Families of PSoC (PSoC 1, PSoC 3, PSoC 5), Difference between PSoC and
conventional MCU.
UNIT - II
Introduction to PSoC 3/5: PSoC 3/5 Architecture – Block Diagram, System Wide Resources, I/O Interfaces, CPU
Subsystem, Memory Organization, Digital Subsystems, Analog Subsystems
UNIT - III
PSoC Design Modules: Why Cypress PSoC, Structure of PSoC, PSoC Designer Suit, Limitations of PSoC, PSoC
Subsystem Design, PSoC Memory Management.
.UNIT - IV
Mixed – Signal Embedded Design: Overview of Mixed Signal Embedded Systems Design, Hardware and
Software subsystems of mixed signal architectures, PSoC Hardware Components, PSoC Software Components,
PSoC Interrupt Subsystem, Introduction to PSoC Express, System Design using PSoC Express.
UNIT - V
PSoC Components: Universal Digital Blocks (UDB), UDB arrays and Digital System Interconnect (DSI), Timer,
Counter and PWM, Digital Filter Blocks (DFB), Delta Sigma ADC Topologies and Circuits, Programmable Gain
Amplifiers, Switched Capacitor / Continuous Time, Analog Routing, Flash Temperature Sensors, DTMF Dialers,
Sleep Timers, UART, I2C, SPI, USB, CAN Buses
System Design Using PSoC
Interfacing of Temperature Sensor and Tachometer, SPI and UART based Communication, Low Noise Continuous
Time Signal Processing with PSoC, Data Acquisition and control system with PSoC, Ultra wide band RADAR, and
Serial Bit Receiver with Hardware Manchester Decoder, DTMF Detector, Ultrasonic Vehicle Parking Assistant, and
Universal Wide Range Signal Generator
58
Text Book(s):
1. Tuan Vo Dirh, Biomedical photonics – Handbook, CRC Press, Bocaraton, 2003.
2. Mark E. Brezinski., Optical Coherence Tomography: Principles and Applications, Academic Press, 2006.
Reference(s):
1. Leon Goldman, M.D., & R. James Rockwell, Jr., “Lasers in Medicine”, Gordon and Breach, Science Publishers
Inc., New York, 1971.
2. R. Splinter and B.A Hooper, “An Introduction to Biomedical Optics”, Taylor and Francis, 2007.
Course Delivery: Regular black board teaching, Power point presentation/ group discussion/ interaction
Course outcomes:
On completion of this course, the students shall
1. Get the knowledge of architecture of PSOC and its applications.(POa,POj)
2. Know the difference between PSOC, MCUS & MSP.(POa,POb,POj,POk)
3. Get the knowledge of few serial interfaces & their applications.(POa,POb,POj, POk)
4. able to understand the usage of PSOC for any application. (POa,POj, POk)
Assessment and Evaluation vis-à-vis Course Outcomes:
What
Direct Assessment methods
CIE
To
Whom
Internal
Assessment
tests
Other
MCQ,
Surprise test,
Quiz
Frequency
Three
(Average of
the best two
will be
computed)
Three
Students
Twice
Tests are
conducted
Before the
third test
Max
Marks
30
Evidence collected
10
Blue books /Answer
scripts
Blue Books
Course
Outcomes
1, 2, 3
1,2,3
10
4
Standard
Examination
End of course
(Answer any
5 of 10
Questions)
100
Answer scripts
1,2,3&4
Students Feedback
Middle of the
course
-
Feedback forms
2 & 3, Delivery
of the course
End of course
-
Questionnaire
1,2 and 3,
Effectiveness of
Delivery of
instructions and
Assessment
methods
Indirect Assessment
methods
SEE
End of course survey
Student
59
CIE and SEE evaluation
S.No
Bloom’s Category
Test 1
Test 2
Test 3
Semester-End Examination
1
Remember
20
10
10
10
2
Understand
20
20
10
20
3
Apply
20
30
20
30
4
Analyze
20
20
30
20
5
Evaluate
20
10
20
10
6
Create
00
10
10
10
60
LASERS IN MEDICINE
Course code: MLPE12
Prerequisites: Physics
Course coordinator(s): Mrs. Purnima B. R, Mrs. Uma Arun
Credits: 4:0:0
Contact Hours: 42
Course objectives:
1. To study the properties and characteristics of lasers and the responses of tissue for the incidence of laser.
2. To study in detail about the electromagnetic spectrum its wavelength distributions and the absorption and
scattering characteristics at each wavelength and further perform a detail study on ultraviolet region of
electromagnetic spectrum.
3. To study various applications of lasers & optical fibers in medicine including two major categories: therapeutic
& diagnostics.
4. To study the role of low power lasers in medical field.
Course contents:
UNIT - I
Basics of Lasers: Laser physics fundamentals, Principles, Laser Materials, Major Types of Lasers, Medical Lasers,
Basics of Fiber Optics, Optical Materials, The Future of Medical Lasers and Fiber Optics, Laser Safety.
Optical & Thermal Response Of Tissues: Introduction, the Optical Response of Tissue, Thermal Response. Dosimetry
and Thermal Monitoring
UNIT - II
Effects Of Ultraviolet Radiation On Tissues: Introduction to Ultraviolet Radiation, A Division of the Ultraviolet for
Photobiological Studies, UV Sources, Absorption of Ultraviolet, Direct vs. Indirect Effects of UV, Action Spectroscopy.
UNIT - III
Tissue Diagnostics Using Lasers: Introduction, Light Interaction with Tissue, Spectroscopic Diagnostics of Malignant
Tumors, Spectroscopic Diagnostics of Atherosclerotic Plaque, Light Scattering and Tissue Transillumination.
UNIT - IV
Therapeutic & Diagnostic applications Of Lasers: Lasers in Ophthalmology, Gynecology, Neurosurgery, Cardiology,
Oncology, Orthopedic , ENT & urology & Other clinical applications.
UNIT - V
Low Power Laser Effects: Introduction, Limitations of Low–Power Laser Effects on Cellular Level, Clinical
Applications of Low-Power Laser Effects, Lasers in Photodynamic Therapy.
61
Textbook(s):
1. Ronald W. Waynant “Lasers in Medicine” CRC press. 2001
2. Lasers and optical fibres in medicine by Abraham Katzir, Academic press, 1998.
Reference(s):
1. G David Baxter, Churchil “Therapeutic Lasers – Theory & Practice , Livingstone Publications. 1994
Course Delivery: Regular black board teaching, Power point presentation/ group discussion/ interaction
Course outcomes:
On completion of this course, the students will be able to:
1.
2.
3.
4.
To discuss about the reviewing issues in the world of medical lasers like
Why lasers? How do lasers work? How do lasers interact with matter in particular with biological tissue?
and What makes lasers so effective? (POa, POi)
Debate on the various regions of electromagnetic spectrum and their role in medical field.(POa,POi)
Implement different types of lasers in Diagnostics and Therapeutics applications of medicine.POa, POd,
POi)
To apply the low lasers in the area of medicine. (POa, POd, POi)
Assessment and Evaluation vis-à-vis Course Outcomes:
Indirect Assessment
Methods
Direct Assessment Methods
What
To
whom
Internal assessment
tests
CIE
Others
MCQ/ QUIZ/ Surprise
test
SEE
Students
Standard examination
Students feedback
Frequency
Max
Marks
Evidence
collected
Course Outcomes
Thrice(Average
of the best two
will be
computed)
30
Blue books
1,2 and 3
Twice during
semester. Test
are conducted
before third test
10
10
1, 2 and 4
End of course
(Answer any 5
of 10 questions)
100
Answer scripts
1, 2 and 3
Middle of the
course
-
Feedback forms
2 & 3, Delivery of
the course
Questionnaire
1,2 and 3,
Effectiveness of
Delivery of
instructions and
Assessment methods
Students
End of course survey
4 and 5
Blue
books/Answer
scripts
End of course
62
-
CIE and SEE evaluation
S.No
Bloom’s Category
Test 1
Test 2
Test 3
Semester-End Examination
1
Remember
20
10
10
10
2
Understand
20
20
10
20
3
Apply
20
30
20
30
4
Analyze
20
20
30
20
5
Evaluate
20
10
20
10
6
Create
00
10
10
10
63
EMBEDDED REAL TIME SYSTEMS
Subject Code: MLPE13
Credits: 3:0:0
Prerequisite: Digital Design, Microcontrollers
Contact Hours:42
Course coordinator(s): Mrs. Prabhu Ravikala Vittal, Mr. Basavaraj Hiremath
Course Objectives:
1.
To discuss the Embedded system & overview of design technology
2.
To discuss different types of processors and designing concepts of real time systems.
3.
To discuss the various communication interfaces used for communication with an embedded system.
4.
To describe the working concepts of RTOS.
5.
To explain the design synthesis of embedded system.
Course contents:
UNIT- I
Introduction to Embedded Systems:– Model of an Embedded System, Microprocessor vs. Microcontroller, Example: A
simple temperature monitor, Classification of MCUs, Current Trends. MCU:- The processor, The Harvard Architecture,
GPIO, Power on Reset, Brown Out Reset, Watch Dog Timer, Real Time Clock, Memory Types, Low Power Design.
UNIT - II
Elementary ideas of Sensors, ADCs, Actuators. Buses and Protocols:- Elementary ideas of Parallel, I2C, SPI, USB, IEEE
1394, RS-232, RS-422/RS-485, Ethernet, CAN, WLAN, ZigBee, Bluetooth.
UNIT- III
Operating system concepts:Embedded operating system, layers of operating systems, History of operating systems,
functions performed by operating systems, terms associated with OS & computer usage, The kernel, Tasks/processes,
Scheduling algorithms, Treads.
UNIT - IV
Interrupt handling, inter process (task) communication (IPC), task synchronization, semaphores, priority inversions,
device drivers, codes/pseudo codes for OS function.
Real time operating system: Real time tasks, Real time systems, Types of real time tasks, Real time operating systems,
rate monotonic algorithm, The earliest deadline first algorithm.
UNIT - V
Embedded Program Development, Integrated Development Environment, Compiler, Assembler, Builder, Disassembly,
Linker, Simulator, Downloading the Hex file,
Hardware Simulator. Hardware Software Co-Design, Embedded Product Development Lifecycle Management, Testing.
Embedded
System Examples:- Mobile Phone, Automotive Electronics, RFID, WISENET, Robotics, Biomedical Applications, BMI.
64
Text Book(s) :
1. Lyla B Das; Embedded Systems: An Integrated Approach, Pearson Education, 2013
Reference Books:
1.Marilyn Wolf; Computers as Components: Principles of Embedded Computing System Design, 3e, Morgan Kaufmann,
2012
2. Peter Barry, Patrick Crowley; Modern Embedded Computing, 1e, Morgan Kaufmann, 2012,
3. Lori M. Matassa, Max Domeika; Break Away with Intel Atom Processors – A Guide to Architecture Migration, 1e,
Intel Press, 2010
4. Shibu K V; Introduction To Embedded Systems, 1e, MGH, 2009
Course Delivery: Regular black board teaching, Power point presentation/ group discussion/ interaction
Course outcomes: On completion of this course, the students will be able to
1. To get the concepts of architectural details and programming model of the processors.(POa,Pod, POi)
2. Able to interface the serial communication devices and understand their communication protocols.(POa, POc,POd,
POi)
3. To get concepts of operating system and real time operating systems. POa, POi)
4. To discuss the various software and hardware tools used in Embedded system design applications.(POa, POC,
Pod,POi)
Assessment and Evaluation vis-à-vis Course Outcomes:
Indirect Assessment
Methods
Direct Assessment Methods
What
CIE
SEE
To
whom
Frequency
Max
Marks
Internal
assessment
tests
Thrice
(Average of the
best two will be
computed)
30
Others
MCQ/ QUIZ/
Surprise test
Twice during
semester.Test are
conducted before
third test
10
End of course
(Answer any 5 of
10 questions)
100
Middle of the
course
-
Students
Standard
examination
Students feedback
10
Evidence
collected
Course Outcomes
Blue books
1,2 and 3
Blue
books/Answer
scripts
1, 2 and 3
Feedback forms
2 & 3, Delivery of the
course
Questionnaire
1,2 and 3,
Effectiveness of
Delivery of
instructions and
Assessment methods
End of course
65
1, 2 and 4
Answer scripts
Students
End of course survey
4 and 5
CIE and SEE evaluation
S.No
Bloom’s Category
Test 1
Test 2
Test 3
Semester-End Examination
1
Remember
20
10
10
10
2
Understand
20
20
10
20
3
Apply
20
30
20
30
4
Analyze
20
20
30
20
5
Evaluate
20
20
20
10
6
Create
00
00
10
10
66
BIOMETRICS
Subject Code: MLPE14
Prerequisite: Nil
Course Coordinator(s): Mrs. Purnima B. R, Mrs. Supriya Babu
Credits: 3:0:0
Contact Hours: 42
Course objectives:
1.
2.
3.
4.
5.
6.
To study basic working of biometrics and factors that determine the accuracy.
To study in detail about finger printing technology their applications and algorithms that are used
for interpretation.
To study in detail about iris scan , their applications and algorithms that are used for
interpretation.
To study in detail about voice scan , their features and operation steps and its applications..
To study the role of Biometrics in different security systems.
To study the introduction of different physiological biometrics.
Course contents:
UNIT-I
BIOMETRIC FUNDAMENTALS: Introduction - Benefits of biometric security - Verification and identification Basic working of biometric matching - Accuracy - False match rate - False non-match rate - Failure to enroll rate Derived metrics - Layered biometric solutions.
UNIT-II
FINGERPRINT IDENTIFICATION TECHNOLOGY: Finger scan - Features - Components - Operation
(Steps) - Competing finger Scan technologies - Strength and weakness. Types of algorithms used for interpretation.
UNIT-III
FACE & IRIS RECOGNITION: Facial Scan - Features - Components - Operation (Steps) - Competing facial
Scan technologies - Strength and weakness.
Iris Scan - Features - Components - Operation (Steps) - Competing iris Scan technologies - Strength and weakness.
UNIT-IV
VOICE SCAN: Voice Scan - Features - Components - Operation (Steps) - Competing voice Scan (facial)
technologies - Strength and weakness.
Other physiological biometrics - Hand scan - Retina scan - AFIS (Automatic Finger Print Identification Systems) Behavioral Biometrics - Signature scan- keystroke scan.
UNIT-V
APPLICATIONS: Biometrics Application - Biometric Solution Matrix - Bio privacy - Comparison of privacy
factor in different biometrics technologies - Designing privacy sympathetic biometric systems. Biometric standards (BioAPI , BAPI) - Biometric middleware
Biometrics for Network Security. Statistical measures of Biometrics. Biometric Transactions.
Text Book(s):
1. Samir Nanavati, Michael Thieme, Raj Nanavati, "Biometrics - Identity Verification in a Networked
World", WILEY- Dream Tech, 2002
2. Paul Reid "Biometrics for Network Security", Pearson Education, 2004
Reference(s):
1.
2.
John D. Woodward, Jr. "Biometrics- The Ultimate Reference"-Wiley Dreamtech.1edition, 2003
For more details, visit Http://www.jntu.ac.in
67
Course Delivery: Regular black board teaching, Power point presentation/ group discussion/ interaction
Course outcomes:
On completion of this course, the students will be able to:
1. Explain about the various algorithms that are used for the interpretation. (POa, POd, Poi, POh, POj)
2. Explain about different types of physiological biometrics and their role in different security systems. (POa, POi,
POi,POj)
Assessment and Evaluation vis-à-vis Course Outcomes:
Indirect
Assessment
Methods
Direct Assessment Methods
What
CIE
Internal
assessment
tests
Others
MCQ/ QUIZ/
Surprise test
SEE
To
whom
Students
Standard
examination
Students feedback
Frequency
Thrice
(Average of the
best two will be
computed)
Twice during
semester.Test are
conducted before
third test
End of course
(Answer any 5 of
10 questions)
Middle of the
course
Max
Marks
30
10
10
Evidence
collected
Course Outcomes
Blue books
1,2 and 3
1, 2 and 4
Answer scripts
1, 2 and 3
Feedback
forms
2 & 3, Delivery of the
course
Questionnaire
1,2 and 3, Effectiveness
of Delivery of
instructions and
Assessment methods
100
-
Students
End of course survey
4 and 5
Blue
books/Answer
scripts
End of course
CIE and SEE evaluation
Sl.No
Bloom’s Category
Test 1
Test 2
Test 3
Semester-End Examination
1
Remember
20
10
20
20
2
Understand
20
20
10
20
3
Apply
20
30
20
30
4
Analyze
20
20
30
20
5
Evaluate
20
20
20
10
6
Create
00
00
00
00
68
SPEECH PROCESSING
Subject Code: MLPE15
Credits: 3:0:0
Prerequisite: Nil
Contact Hours: 42
Course Coordinator(s): Mrs. Chandana S, Dr. C. K. Narayanappa
Course objectives:
1.
2.
3.
4.
Describe digital models for Speech Signals
Discuss the time domain models For Speech Processing:
Digital Representation Of Speech Waveform
Understand the speech synthesis and recognition.
Course contents:
UNIT - I
Digital Models For Speech Signals: Process of speech production, Lossless tube models, digital models for speech signals
UNIT - II
Time Domain Models For Speech Processing: Time dependent speech processing, short time energy & average magnitude,
short time averaging zero crossing rate, speech v/s silence discrimination using energy & zero crossing, Pitch period
estimation, short time autocorrelation function
UNIT - III
Short Time Fourier Analysis: Linear filtering interpretation, Filter bank summation method, design of digital filter banks,
implementation using FFT, Spectrographic display
UNIT - IV
Digital Representation Of Speech Waveform: Sampling speech signals, statistical speech model, instantaneous
quantization, adaptive quantization, differential quantization, delta modulation
Linear Predictive Coding Of Speech: Basic principles of linear predictive analysis, solution of LPC equations & predictive
error signal, frequency domain interpretation, relation between the various speech parameters, applications of LPC
parameters.
UNIT - V
Speech Synthesis: Principles of Speech synthesis, Synthesis based on waveform coding, Synthesis based on analysis
synthesis method, Synthesis based on speech production mechanism, Synthesis by rule, Text to speech conversion.
Speech Recognition: Principles of Speech recognition, Speech period detection, Spectral distance measures, Structure of
word recognition systems, Dynamic time warping (DTW), Word recognition using phoneme units.
Text Book(s):
1.
Digital Processing of speech signals, L R Rabiner & R W Schafer, Pearson Education 2004
2.
Digital Speech Processing-Synthesis & Recognition, Sadoaki Furui, 2nd edition, Mercel Dekker 2002
Reference(s):
1.
Introduction to data compression, Khalid Sayood, 3rd edition, Elsevier Publications
Digital Speech, A M Kondoz, 2nd edition, Wiley Publications
Course Delivery: Regular black board teaching, Power point presentation/ group discussion/ interaction
Course outcomes:
On completion of this course, the students will be able to
1. The students will get familiar with basic characteristics of speech signal in relation to production and hearing of speech
69
2.
3.
4.
by humans. (POa, POd, POh, POj)
They will understand basic algorithms of speech analysis common to many applications(POa, POd, POh, POj)
They will be given an overview of applications (recognition, synthesis, coding) and be informed about practical
aspects of speech algorithms implementation. (POc)
The students will be able to design a simple system for speech processing (speech activity detector, recognizer of
limited number of isolated words), including its implementation into application programs. (POa, POB, POi)
Assessment and Evaluation vis-à-vis Course Outcomes:
Direct Assessment Methods
What
CIE
Internal
assessment
tests
Others
MCQ/
QUIZ/
Surprise test
Indirect
Assessment
Methods
SEE
To
whom
Students
Standard
examination
Frequency
Max
Marks
Thrice
(Average of the
best two will be
computed)
30
Twice during
semester.Test
are conducted
before third test
10
End of course
(Answer any 5
of 10 questions)
100
Middle of the
course
-
Students feedback
End of course
survey
10
Evidence
collected
Course Outcomes
Blue books
1,2 and 3
End of course
1, 2 and 4
Answer scripts
1, 2 and 3
Feedback
forms
2 & 3, Delivery of the
course
Questionnaire
1,2 and 3, Effectiveness
of Delivery of
instructions and
Assessment methods
-
Students
4 and 5
Blue
books/Answer
scripts
CIE and SEE evaluation
S.No
Bloom’s Category
Test 1
Test 2
Test 3
Semester-End Examination
1
Remember
20
10
20
20
2
Understand
20
20
10
20
3
Apply
20
30
20
30
4
Analyze
20
20
30
20
5
Evaluate
20
20
20
10
6
Create
00
00
00
00
70
CORE JAVA
Subject Code: MLPE16
Prerequisite: Fundamentals of C language
Hours: 42
Course Coordinator(s): Mr. Mahendra S J , Mr. Basavaraj Hiremath
Credits: 3:0:0
Contact
Course Objectives:
This course will help students to achieve the following objectives:
1. Identify the different object oriented concepts and implement basic programs.
2. Present inheritance and interface concepts.
3. Introduce multithreading programming concepts and handling errors efficiently.
4. Present different ways of implementing event handling and creating user interfaces using swings.
5. Introduce to java language package & important java collection framework
Course Contents:
Unit 1
Java Fundamentals, Introducing Classes & Methods Object-Oriented Programming, The Three OOP Principles,
Data Types, Variables, and Arrays: The Primitive Types, Type Conversion and Casting, Arrays: OneDimensional Arrays, Multidimensional Arrays. Operators: Arithmetic Operators, The Bitwise Operators,
Relational Operators, Boolean Logical Operators, The Assignment Operator, The ? Operator, Operator
Precedence, Control Statements, Class Fundamentals, Declaring Objects, Assigning Object Reference Variables,
Introducing Methods, Constructors, The this Keyword, Garbage Collection, The finalize( ) Method, Overloading
Methods, Using Objects as Parameters, A Closer Look at Argument Passing, Returning Objects, Introducing
Access Control, Understanding static, Introducing final, Introducing Nested and Inner Classes.
Unit 2
Inheritance, Packages & Interfaces Inheritance Basics, Using super, Creating a Multilevel Hierarchy, When
Constructors Are Called, Method Overriding, Dynamic Method Dispatch, Using Abstract Classes, Using final
with Inheritance, Packages, Access Protection, Importing Packages, Interfaces,
Unit 3
Exception handling, Multithreaded Programming Exception-Handling Fundamentals, Exception Types,
Uncaught Exceptions, Using try and catch, Multiple catch Clauses, Nested try Statements, throw, throws,
finally, Java’s Built-in Exceptions, Creating Your Own Exception Subclasses, Chained Exceptions,
Multithreaded Programming: The Java Thread Model, The Main Thread, Creating a Thread, Creating Multiple
Threads, Using isAlive( ) and join( ), Thread Priorities, Synchronization, Suspending, Resuming, and Stopping
Threads.
Unit 4
Event Handling, Introducing Swing Two Event Handling Mechanisms, The Delegation Event Model, Event
Classes, Sources of Events, Event Listener Interfaces, Using the Delegation Event Model, Adapter Classes,
Inner Classes. Introducing Swing: The Origins of Swing, Two Key Swing Features, The MVC Connection,
Components and Containers, The Swing Packages, A Simple Swing Application,Event Handling, Create a
Swing Applet, Exploring Swing: JLabel and ImageIcon, JTextField, The Swing Buttons, JTabbedPane,
JScrollPane, JList, JComboBox, Trees, JTable.
Unit 5
String Handling, Exploring java.lang, The Collections Framework String Handling: The String Constructors,
Special String Operations, Character Extraction, String Comparison, Searching and Modifying a String,
StringBuffer. Exploring java.lang : Primitive Type Wrappers. The Collections Framework: Collections
71
Overview, Recent Changes to Collections, The Collection Interfaces, The Collection Classes, Accessing a
Collection via an Iterator, Arrays .
Text Books:
Herbert Schildt: Java The Complete Reference, 8th Edition, Tata McGraw Hill, 2013.
Reference Books:
1. Y. Daniel Liang: Introduction to JAVA Programming, 7th Edition, Pearson Education, 2012.
2. Stephanie Bodoff, Dale Green, Kim Haasel: The J2EE Tutorial, 2nd Edition, Pearson Education, 2008.
Course Outcomes:
This course uses assigned readings, lectures, and homework to enable the students to:
1. Recognize the basic object oriented concepts & apply them to create java applications. (POa,POb,POk)
2. Demonstrate java applications with inheritance and interface concepts. (POa,POb,POc, POe, POi, POj)
3. Design java applications with multithreading concepts and demonstrate the error handling concepts.
(POa,POb, POd, POe, POi, POk)
4. Create GUI applications with the help of swings and handle events. (POa,POb, POc, POd, POh, POi, POj)
5. Design client server applications and security models. (POa, POb, POe, POk)
Course Delivery: The course will be delivered through lectures, class room interaction, group discussion and
exercises, lab sessions and mini project.
Course Assessment and Evaluation Scheme:
Indirect Assessment
Methods
Direct Assessment
Methods
What
CIE
Internal
assessment
tests
Internal lab
Test
SEE
To whom
Max
marks
Evidence
collected
Contributing to
Course
Outcomes
30
Blue books
1, 2 ,3,4&5
20
Quiz answers
1, 2 ,3,4&5
End of course
(Answering 5 of
10 questions)
100
Answer scripts
1, 2 ,3,4&5
Middle of the
course
-
Feedback forms
Delivery of the
course
When/ Where
(Frequency in
the course)
Thrice(Average of
the best two)
Students
Standard
examination
Students feedback
Once
Students
End of course survey
End of course
72
-
Questionnaire
Effectiveness of
Delivery of
instructions &
Assessment
Methods
CIE and SEE evaluation
S.No
Bloom’s
Category
Test 1
Test 2
Test 3
Semester-End Examination
1
Remember
20
10
20
20
2
Understand
20
20
10
20
3
Apply
20
30
20
30
4
Analyze
20
20
30
20
5
Evaluate
20
20
20
10
6
Create
00
00
00
00
73
MEDICAL INFORMATICS
Subject Code: MLPE21
Prerequisite: Nil
42
Course Coordinator(s): Dr. C. K. Narayanappa, Mr. Sanjay H.S
Credits: 3:0:0
Contact Hours:
Course Objectives :
1.
A clinical executive level appreciation for the convergence of three critical forces in medical informatics:
computing, communications, and content with a focus on why medical informatics is critical to health care.
2. Knowledge of the current state and future trends in computer and communications technology, and
database management systems, both general and health-related
3. Knowledge of standards, coding and classifications in medical informatics.
4. Knowledge of telemedicine, Internet-enabled applications and other future technologies
Course contents:
UNIT I
Medical Informatics: Introduction - Structure of Medical Informatics –Internet and Medicine -Security issues,
Computer based medical information retrieval, Hospital management and information system, Functional
capabilities of a computerized HIS, e-health services, Health Informatics – Medical Informatics, Bioinformatics
UNIT II
Computerised Patient Record : Introduction - History taking by computer, Dialogue with the computer,
Components and functionality of CPR, Development tools, Intranet, CPR in Radiology- Application server
provider, Clinical information system, Computerized prescriptions for patients.
UNIT III
Computers in Clinical Laboratory and Medical Imaging: Automated clinical laboratories-Automated methods in
hematology, cytology and histology, Intelligent Laboratory Information System - Computerized ECG, EEG and
EMG, Computer assisted medical imaging- nuclear medicine, ultrasound imaging ultrasonography-computed Xray tomography, Radiation therapy and planning, Nuclear Magnetic Resonance
UNIT IV
Computer Assisted Medical Decision-Making: Neuro computers and Artificial Neural Networks application,
Expert system – General model of CMD, Computer –assisted decision support system-production rule system,
cognitive model, semester networks , decisions analysis in clinical medicine-computers in the care of critically
patients-computer assisted surgery-designing
UNIT V
Recent Trends in Medical Informatics: Virtual reality applications in medicine, Computer assisted surgery,
Surgical simulation, Telemedicine - Tele surgery computer aids for the handicapped, computer assisted
instrumentation in Medical Informatics - Computer assisted patient education and health - Medical education
and health care information.
Text Books:
1. R. D. Lele, “Computers in medicine progress in medical informatics”, TMH, 2005, New Delhi.
2. Mohan Bansal, “Medical informatics” TMH, 2003 New Delhi
Course Delivery: Regular black board teaching, Power point presentation, interaction and demonstration
74
Course Outcomes
1.
2.
3.
4.
Gaining knowledge and skills in health and medical informatics, various levels can exist concerning
depth and breadth of educational components. (POa, POb)
Define the levels of knowledge and practical skills needed. (POa,POb,Poe)
Enabling the students to efficiently and responsibly use information processing methodology and
information and communication technology. (For all health care
professionals in their role as IT
users). (POa, Poe, POi)
Preparing the students for careers in health and medical informatics in academic, health care (e.g.
hospital) or industrial settings (For health and medical informatics specialists) (POd, POk)
Course Assessment and Evaluation:
When/ Where
(Frequency in the
course)
Thrice(Average of
the best two will be
computed)
Once
(Conducted for 20
marks and scaled
down to 10 marks)
Max
marks
Evidence
collected
Contributing to
Course Outcomes
30
Blue books
1,2,3,4
10
MCQ test cum
answer sheets
1,2
Assignment
Once
10
Assignment
reports
3,4
Standard
examination
End of course
(Answering 5 of 10
questions)
100
Answer scripts
1,2,3,4
Middle of the
course
-
Feedback forms
End of course
-
Question-naire
Indirect Assessment
Methods
Direct Assessment Methods
What
C
I
E
S
E
E
To whom
Internal
assessment
tests
Multiple
choice
Questions test
Students
Students feedback
End of course
survey
Students
Delivery of the
course
Effectiveness of
Delivery of
instructions &
Assessment
Methods
CIE and SEE evaluation
S.No
Bloom’s Category
Test 1
Test 2
Test 3
Semester-End Examination
1
Remember
20
10
10
10
2
Understand
20
20
10
20
3
Apply
20
30
20
30
4
Analyze
20
20
30
20
5
Evaluate
20
10
20
10
6
Create
00
10
10
10
75
MEDICAL OPTICS
Subject Code: MLPE22
Prerequisite: Nil
Course Coordinator(s): Mrs. Uma Arun, Mrs. Purnima B R
Credits: 3:0:0
Contact Hours: 42
Course Objectives
1. The optical properties of the tissues
2. The applications of photonic instruments in diagnosis and therapy
3. The various techniques used for optical imaging.
4. The recent and future trends in health-related optics.
Course contents
UNIT - I
OPTICAL PROPERTIES OF THE TISSUES: Biomedical Photonics-Introduction, Refraction, Scattering,
absorption, tissue properties, Light interaction with tissues introduction, fluorescence, multiphoton
fluorescence.
UNIT - II
INSTRUMENTATION IN PHOTONICS: Basic spectrometer,Instrumentation for absorption, scattering and
emission measurements, Instrumental components-general considerations,excitation light sources – high
pressure arc lamp, solid state LEDs, Lasers, optical fibers and dispersive devices, optical filters, polarizer,
detectors.
UNIT - III
BIOLOGICAL IMAGING SPECTROSCOPY: Introduction, Spectral Image Cubes
Instruments,Spectral Scanning Instruments , Spatial Scanning Systems ,Other Approaches, Data Analysis,Image
Analysis ,Analysis of Spectral Images, Applications -Imaging Spectroscopy.
UNIT - IV
INTRODUCTION TO OPTICAL COHERENCE TOMOGRAPHY: Introduction
Principles of Operation of Optical Coherence Tomography,Measuring Ultrafast Optical Echoes of Optical
Coherence Tomography , Image Generation in Optical Coherence Tomography, Optical Coherence
Tomography Technology and Systems , Applications of Optical Coherence Tomography
Imaging in Ophthalmology .
UNIT - V
FLUORESCENT SPECTROSCOPY FOR BIOMEDICAL DIAGNOSTICS: Introduction, Principles of
Fluorescence Spectroscopy,Fluorescence Techniques ,Photophysical Basis of Luminescence , Biomedical
Applications, Invitro Analysis and diagnosis.
Text Books:
1. Tuan Vo Dirh, Biomedical photonics – Handbook, CRC Press, Bocaraton, 2003.
Reference Books:
1. Mark E. Brezinski., Optical Coherence Tomography: Principles and Applications, Academic Press, 2006.
2. Leon Goldman, M.D., & R. James Rockwell, Jr., “Lasers in Medicine”, Gordon and Breach, Science
Publishers Inc., New York, 1971.
3. R. Splinter and B.A Hooper, “An Introduction to Biomedical Optics”, Taylor and Francis, 2007.
Course Delivery: Regular black board teaching, Power point presentation, interaction and
Course Outcomes: The students will be able to
1. Demonstrate the knowledge of the fundamentals of optical properties of tissues.(POa, POb)
2. Describe optical tomography and its applications. (POa,POb,POe)
3. Gain knowledge in photonics and its therapeutic applications.(POa, POe, POi)
4. Know the concepts of optical imaging techniques.(POd, POk)
76
demonstrations
Course Assessment and Evaluation:
Indirect
Assessment
Methods
Direct Assessment Methods
What
C
I
E
S
E
E
To whom
When/ Where
(Frequency in the
course)
Max
marks
Evidence
collected
Contributing to
Course Outcomes
Internal
assessment
tests
Thrice(Average of
the best two will be
computed)
30
Blue books
1,2,3
Multiple
choice
Questions test
Once
(Conducted for 20
marks and scaled
down to 10 marks)
10
MCQ test cum
answer sheets
1,2,4
Assignment
Once
10
Assignment
reports
3,4
Standard
examination
End of course
(Answering 5 of 10
questions)
100
Answer scripts
1,2,3
Middle of the
course
-
Feedback forms
End of course
-
Question-naire
Students
Students feedback
End of course
survey
Students
-
CIE and SEE evaluation
S.No
Bloom’s Category
1
-
Test 1
Test 2
Test 3
Semester-End Examination
Remember
20
10
10
10
2
Understand
20
20
10
20
3
Apply
20
30
20
30
4
Analyze
20
20
30
20
5
Evaluate
20
10
20
10
6
Create
00
10
10
10
77
BIOMEMS
Subject Code: MLPE23
Prerequisite: Nil
Course Coordinator(s): Mrs. Supriya Babu
Credits: 3:0:0
Contact Hours: 42
Course objectives
1. Discuss the basics of MEMs and Microsystems and their fabrication techniques
2. Understand the working principles of miniaturization and the factors involved in the same
3. Interpret the concepts involved in the design of microfluidic systems
4. Highlight the applications of biomems in healthcare
Course Contents
UNIT I
MEMS AND MICROSYSTEMS: Introduction: The History of MEMS Development, Future Trends, The
Intrinsic Characteristics of MEMS, Devices: Sensors and Actuators
Introduction to Microfabrication: Overview of Microfabrication, Essential Overview of Frequently Used
Microfabrication Processes, Microelectronics Fabrication Process Flow, Packaging and Integration, New
Materials and Fabrication Processes, Process Selection and Design
UNIT II
Basic Concepts Scaling Laws in Miniaturization: Introduction, Scaling in Geometry, Scaling in Rigid-Body
Dynamics, Electrostatic forces, Electromagnetic Forces, Electricity, Fluid Mechanics, Heat Transfer.
Essential Electrical and Mechanical Concepts: Conductivity of Semiconductors, Crystal Planes and
Orientations, Stress and Strain, Flexural Beam Bending Analysis under Simple Loading Conditions, Torsional
Deflections, Intrinsic Stress, Dynamic System, Resonant Frequency, and Quality Factor, Active Tuning of
Spring Constant and Resonant Frequency
UNIT III
Introduction to Sensing and Actuation: Electrostatic, Thermal, Piezoelectric, Piezoresistive, Magnetic
UNIT IV
MICROFLUIDIC SYSTEMS : Fluid dynamics, continuity equation, momentum equation, equation of motion,
laminar flow in circular conduits, fluid flow in microconduits, in submicrometer and nanoscale. Microscale
fluid, expression for liquid flow in a channel, fluid actuation methods, dielectriophoresis, microfluid dispenser,
microneedle, micropumps-continuous flow system
UNIT V
APPLICATIONS OF BIOMEMS: CAD for MEMs, Drug delivery, micro total analysis systems (MicroTAS)
detection and measurement methods, microsystem approaches to polymerase chain reaction (PCR), DNA
hybridization, Lab-on-A-Chip
Text Books:
1.
2.
3.
Chang Liu, Foundations of MEMS, Second Edition, Pearson Education LTD.,2 ed,2011
Tai Ran Hsu , “MEMS and Microsystems design and manufacture”, TMH, New Delhi, 2002
Nitaigour Premchand Mahalik, “MEMS”, TMH, New Delhi, 2007
Course Delivery: Regular black board teaching, Power point presentation/ group discussion/ interaction
Course outcomes:
1.
2.
3.
Relate the basics of sensors MEMs to biomedical engineering. (POa, POc, POi, POl)
Incorporate, comprehend and relate the principles of miniaturizations and microfluidic systems,
(POb,POe,POh,POj)
Interpret and analyze the various applications of BioMEMS. (POc,POk)
78
Assessment and Evaluation vis-à-vis Course outcomes :
What
To
Frequency
whom
Max
Evidence
Marks
collected
Course Outcomes
Thrice
(Average of
Internal assessment
Blue books
the best two
tests
Direct Assessment Methods
30
1, 2 and 3
will be
CIE
computed)
Once
Surprise test
Multiple Choice
10
1 and 2
answer scripts
Students
Once
10
Questions
MCQ answer
2 and 3
scripts
End of
100
course
Standard
SEE
Surprise test
(Answer any
examination
Answer scripts
1, 2 and 3
Feedback forms
1, 3 Delivery of the
course
Questionnaire
1& 2 , Effectiveness
of Delivery of
instructions and
Assessment methods
5 of 10
Middle of the
Students feedback
Methods
Indirect Assessment
questions)
-
course
-
Students
End of
End of course survey
course
CIE and SEE evaluation
S.No
Bloom’s
Category
Test 1 (30)
Test 2 (30)
Test 3 (30)
Semester-End Examination (100)
1
Remember
30
20
10
20
2
Understand
30
20
20
20
3
Apply
20
30
30
20
4
Analyze
10
20
20
20
5
Evaluate
10
10
10
10
6
Create
0
0
10
10
79
BIOSENSORS
Subject Code: MLPE24
Credits: 3:0:0
Prerequisite: Nil
Contact Hours: 42
Course Coordinator: Mrs. Supriya Babu, Mrs. Prabhu Ravikala Vittal
Course objectives
1. Discuss the basics of various biosensors used in biomedical engineering technology and their fabrication techniques
2. Understand the working principles enzyme sensors and various enzyme electrodes
3. Highlight the applications of biosensors in healthcare
UNIT – I
Introduction: What is a Biosensor?, Classification of Biosensors Based on Type of Transduction, Classification of
Biosensors Based on Biological Element, Three Generations of Biosensors, Chemical Sensors and other Sensors,
Instrumentation, Future Directions in Biosensors (Micro and Nano Technologies), Immobilization and Types of
Immobilization, Designing a Simple Biosensor
Construction of Biosensors, Choice of Bioreceptor, Enzymes, Microorganisms, Tissue and Organelles, Immunoreceptors,
Chemoreceptors, Choice of Transducer, Immobilization of Bioreceptors, Immobilization of Enzymes, Physical Entrapment,
Immobilization by Cross-Linking, Electromagnetic Immobilization, Multienzymatic Immobilization, Immobilization of
Cofactors, Immobilization of Mediators, Miniature Sensors, Immobilization of Microorganisms, Immobilization of
Immunoagents, Immobilization of Compounds with Bioaffinity
UNIT – II
Enzyme Sensors: Principles of Operation, Theoretical Aspects, Response in the Transient State Response in the Steady
State, First Order Kinetics, Zeroth Order Kinetics, Stability of Enzyme Sensors, Study of Enzymatic Inhibition, Practical
Aspects, Response Time, Sensor Calibration, Parameters Affecting the response
Potentiometric Enzyme Electrodes: Potentiometric Glucose Electrodes, Potentiometric Amino Acid Electrodes, Comparison
of Potentiometric Enzyme Electrodes.
UNIT – III
Amperometric Enzyme Electrodes: Glucose Sensitive Electrodes, Measurement of Oxygen Partial Pressure, Use of
Mediators, Direct Transfer of Electrons, Determination of Polysaccharides, Determination of Alcohols, Determination of
Lactate, Determination of Amino Acids, Comparison of Amperometric Enzyme Electrodes. Multienzyme Electrodes
Semiconductor Enzyme Sensor: MOSFET Sensors, ISFET Sensors, ENFET Sensors, Comparison between ENFET Sensors
and Potentiometric Enzyme Sensors.
UNIT – IV
Optical Enzyme Sensors: Principles of Operation, Optical Sensors Based on Absorption, Optical Sensors Based on
Fluorescence, Direct Measurement of Fluorescence, Measurement of Fluorescence Quenching, Competitive Bonding
Optical Sensors Based on Bio/Chemiluminescence, Optical Fibers, Surface Plasmon Resonance based sensors.
Thermal Enzyme Sensors: Principles of Thermal Enzyme Sensors, Construction of Thermal Enzyme Sensors, Determination
of Hydrogen Peroxide, Determination of Glucose, Determination of Urea, Piezoelectric Enzyme Sensors, Principles,
Construction of Piezoelectric Sensors
UNIT - V
Advanced Biosensor Techniques and applications: Magnetic Biosensor Techniques, Smart Hydrogel Materials, Micro- and
Nanoelectromechanical Sensors, Polymer-Based Microsystem Techniques, Biosensors for Monitoring Metabolites in
Clinical Medicine, Examples of Biosensors for the Measurement of Trace Medical Analytes, Biosensors for Neurological
Disease, Nanobiolithography of Biochips
Text Books:
1) Tran Minh Canh , Biosensors , , Chapman & Hall Publication 1993 edition, 2013
2) BANSI D. MALHOTRA and ANTHONY R. F. TURNER Advances in Biosensors edited , , JAI Press INC
(Imprint of Elsevier Science)
Reference Books:
1) Handbook of Biosensors and Biochips (2 Volume set) By Robert S. Marks, Christopher R. Lowe, David C. Cullen,
Howard H. Weetall, Wiley (2007)
80
Course Delivery: Regular black board teaching, Power point presentation/ group discussion/ interaction
Course outcomes:
1. Relate the basics of sensors to biomedical engineering. (POa, POc, POi, POl)
2. Incorporate, comprehend and relate the principles of enzyme based sensors and their working methods.
(POb, POe, POh, POj)
3. Interpret and analyze the various applications of Biosensors.(POc, POk)
Assessment and Evaluation vis-à-vis Course outcomes :
What
To
whom
Direct Assessment Methods
Internal
assessment tests
CIE
Surprise test
Multiple Choice
Questions
Indirect Assessment
Methods
SEE
Frequency
Max
Marks
Thrice
(Average of
the best two
will be
computed)
Once
30
Students
Once
End of
course
(Answer any
5 of 10
questions)
Middle of
the course
Standard
examination
Students feedback
Students
End of course survey
End of
course
10
10
Evidence
collected
Course Outcomes
Blue books
1, 2 and 3
Surprise test
answer scripts
MCQ answer
scripts
100
Answer
scripts
-
Feedback
forms
-
Questionnaire
1 and 2
2 and 3
1, 2 and 3
1, 3 Delivery of the
course
1& 2 , Effectiveness
of Delivery of
instructions and
Assessment
methods
CIE and SEE evaluation
S.No
Bloom’s
Category
Test 1 (30)
Test 2 (30)
Test 3 (30)
Semester-End Examination (100)
1
Remember
30
20
10
20
2
Understand
30
20
20
20
3
Apply
20
30
30
20
4
Analyze
10
20
20
20
5
Evaluate
10
10
10
10
6
Create
0
0
10
10
81
ANALYTICAL INSTRUMENTATION
Subject Code: MLPE25
Credits: 3:0:0
Prerequisite: Nil
Contact Hours: 42
Course Coordinator(s): Dr.P.G.Kumaravelu, Mrs. Prabha Ravi
Course objectives
1. Discuss the basics of flame photometers and spectrophotometers used in healthcare applications
2. Understand the working principles of chromatography and thermo-analytical instruments and gas
analyzers
3. Highlight the applications of various analytical instruments used in healthcare
UNIT – I:
BASIC COMPONENTS & FLAME PHOTOMETERS: Basic Components of analytical instruments,
Classification: Spectral, electro analytical and separative methods, Theory and problems on Beer – Lamberts
Law, Flame Photometry: Principle, constructional details, flue gases, atomizer, burner, optical system, recording
system. Atomic absorption spectrophotometers: Theoretical concepts, instrumentation: hollow cathode lamps,
burners and flames, plasma excitation sources, optical and electronic system
UNIT – II
SPECTROPHOTOMETERS :Types of Spectrophotometers: Single beam, direct reading, double beam
instruments, microprocessor and high performance, dual wavelength, Flame emission and atomic absorption
Spectrophotometer, Atomic emission Spectrophotometer, IR spectrophotometers: Basic components, types,
sample handling techniques, Fourier Transform IR spectrophotometer, Calibration. Raman Spectrometer
UNIT – III
PHOTO, MASS & NMR SPECTROMETERS : Photoacoustic spectroscopy, Photothermal Spectroscopy, Mass
Spectrometer: Principle of Operation, Types, Components, Inductively Coupled Plasma-Mass Spectrometers,
Trapped ion mass analyzer, Ion Cyclotron Resonance (ICR), Qudrapole ion trap, resolution, applications,
Nuclear Magnetic Resonance (NMR) Spectrometer: principle, types, constructional details.
UNIT – IV
CHROMATOGRAPHY & THERMO-ANALYTICAL INSTRUMENTS: Gas chromatography: basic parts,
methods of measurements of peak areas, Liquid chromatography: Types: Column, thin layer, and paper
partition, High Pressure Liquid Chromatography (HPLC): principle, constructional details, Amino-acid
analyzers.
Thermo-analytical methods, Thermogravimetric (TGA) analysis, Differential Thermal Analysis (DTA),
Differential Scanning Calorimetry, Simultaneous Thermal and mass spectrometers.
UNIT – V
X-RAY SPECTROMETER, DISSOLVED COMPONENTS & GAS ANALYSERS: X-ray spectrometry:
Instrumentation for X-ray spectrometry, X-ray diffractometer, X-ray absorption meter, X-ray fluorescence
spectrometry, Spectrodensitometers, Microprocessor based densitometers, capillary & micro electrophoresis,
Dissolved oxygen, hydrogen analyzers, Sodium analyzer, Silica analyzer and sampling systems. Industrial gas
analyser: paramagnetic oxygen anlyser, magnetic wind instruments, IR gas analyzer, thermal conductivity
analyser, CO monitor, NOX analyzer, H2S analyzer
Textbooks:
1. Instrumental Methods of Analysis, Willard, Merritt, Dean, Settle, CBS Publishers & Distributors, New
Delhi, Seventh edition.
2. Handbook of Analytical Instruments, R. S. Khandpur, Tata McGraw–Hill Publications, 3rd edition
3. Skoog, Holler, Nieman, “Principles of Instrumental Analysis”, Thomson books-cole publications, 5th
edition.
Reference books:
1. Galen W. Ewing, “Instrumental Methods of Chemical Analysis”, McGraw-Hill Book Company, Fifth
edition. 1985
2. Robert D. Braun, “Introduction to Instrumental Analysis”, McGraw-Hill Book Company, 1987
82
Course Delivery: Regular black board teaching, Power point presentation/ group discussion/ interaction
Course outcomes:
1. Relate the basics of sensors to biomedical engineering. (POa, POc, POi, POl)
2. Incorporate, comprehend and relate the principles of enzyme based sensors and their working methods.
(POb, POe, POh, POj)
3. Interpret and analyze the various applications of Biosensors.(POc, POk)
Assessment and Evaluation vis-à-vis Course outcomes :
What
Direct Assessment Methods
Frequency
Thrice
(Average
of the best
two will be
computed)
Internal
assessment tests
CIE
Once
Surprise test
Max
Marks
Multiple Choice
Questions
SEE
Standard
examination
Students feedback
Evidence
collected
Course Outcomes
Blue books
1, 2 and 3
30
10
Students
Methods
Indirect Assessment
To
whom
Once
10
End of
course
(Answer
any 5 of 10
questions)
Middle of
the course
100
Surprise test
answer
scripts
MCQ answer
scripts
Answer
scripts
-
Feedback
forms
Students
End of course survey
End of
course
Questionnaire
1 and 2
2 and 3
1, 2 and 3
1, 3 Delivery of the
course
1& 2 ,
Effectiveness of
Delivery of
instructions and
Assessment
methods
CIE and SEE evaluation
S.No
Bloom’s
Category
Test 1 (30)
Test 2 (30)
Test 3 (30)
Semester-End Examination (100)
1
Remember
30
20
10
20
2
Understand
30
20
20
20
3
Apply
20
30
30
20
4
Analyze
10
20
20
20
5
Evaluate
10
10
10
10
6
Create
0
0
10
10
83