School of Electrical Engineering
Nikola Tesla
University of Belgrade, School of Electrical Engineering
Bulevar Kralja Aleksandra 73, Belgrade, Serbia
Tel: +381/11/3218-348; Fax: +381/11/3248681 http://www.etf.bg.ac.rs/
BCI from SSI (Brain Computer Interface from Student-Student Interface)
15 th March 2013, 11:00-17:00, Computing Center Hall
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http://bmit.etf.rs/index.html, E-mail: bmit_contact@etf.rs
The Laboratory for Biomedical Engineering and Technologies (BMIT) was formed to provide the necessary support for professional and educational activities of students and staff at the
School of Electrical Engineering , University of Belgrade.
The Laboratory follows strict ethical policy based on Helsinki declaration. The experimental work in the
Laboratory includes only healthy individuals. The validation of methods and instruments in individuals with health impairments take place by our clinical partners and collaborators with medical background and qualifications.
The main direction of activities is the development of clinical devices with the overall goal to design systems which could in the future replace the import of expensive electrophysiological and other equipment. Among other, BMIT developed the system for acquisition and processing of data in nuclear medicine (gamma camera) that is used within the Clinical Center of Serbia, Belgrade and Clinical Center of Vojvodina, Novi Sad. BMIT developed a poly-EMG and EMNG systems that are used for research at the Institute for rehabilitation "Dr Miroslav Zotović". BMIT also developed research tools and devices that are used in clinical environment. Various assessment setups are in use in the Clinic for Neurology on daily basis.
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In relation to the strong research and scientific interest of the staff specific attention is dedicated to motor neural prostheses. In the Laboratory we are developing various elements needed for functional use of electrical stimulation and rehabilitation of movement (electrodes, controllers, stimulators, sensors systems, walking assists, etc.) that among other resulted with professional collaboration with private industry and patents.
The primary goal of the Lab is to provide logistic support for the development and design of new analog and digital interfaces for biomedical applications. The Laboratory is based on advanced computerized equipment that comprises National Instruments interfaces to body signals. The data acquisition and processing softwares are based on LabVIEW (National Instruments Inc., Austin, USA) and MatLab (The mathworks, Natick, USA).
Milica Janković, Nebojša Malešević,
Ivana Milovanović, Nadica Miljković, Andrej Savić
Miloš Kostić, Vera Miler-Jerković, Matija Štrbac
Milica Đurić-Jovičić
Heads of BMIT:
Prof. Dejan B. Popović, Corresponding member of Serbian Academy of Sciences and Arts
Prof. Mirjana B. Popović
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Assistive system in Neurorehabilitation: recovery of sensory-motor functions is a project grant at the Laboratory for Biomedical Instrumentation and technologies, School of
Electrical Engineering, University of Belgrade.
Project is granted from Ministry of Education, Science and Technological Development, grant num. #175016. Project leader is prof. Mirjana Popović from School of Electrical
Engineering, University of Belgrade.
Mr Milica Janković
Objective of the project: Improving the acquisition, storing and processing of gamma studies from analog gamma cameras by replacing old or out-of-function computer systems.
Outcomes
• Postponing purchases of new expensive digital gamma camera and supported system
• Preventing the outflow of medical staff to other areas of medical imaging
• Scientific advancement thanks to the possibility for implementation of new medical methods in image analyzing
GammaKey
GammaKey system is used in daily clinical practice seven years in five nuclear medical departments in Serbia.
NI Case Study 2010: Using LabVIEW to Develop the GammaKey System for Acquiring, Storing, Retrieving, and Processing
Gamma Studies, http://sine.ni.com/cs/app/doc/p/id/cs-13511 .
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PhD Milica Đurić-Jovičić
Objective of the project: Gait analysis based on inertial sensors suitable for clinical applications, objective evaluation of gait pattern and automatic recognition of gait impairment
Patients with hemiplegia:
Quantification of gait parameters, Comparison of gait in different assistive devices (cane, walkaround),
Monitoring rehabilitation progress, Assessment of the effects of functional electrical stimulation
Patients with Parkinson’s Disease:
Gait pattern analysis, Monitoring effects of therapy,
Quantitative evaluation of drug effects during day,
Recognition and classification of gait disturbances,
(Near) fall detection
SENSY project: System setup and clinical recordings, http://www.youtube.com/watch?v=3zLEMkEUbAw
M. Sc. Andrej Savić
Objective of the project: Application of Brain Computer Interface technologies in rehabilitation.
Design of novel BCI systems with neurofeedback for motor restoration/substitutuion.
Motor Imagery drives FES : Subject imagines movement of the right hand which triggers Functional
Electrical Stimulation (FES) that evokes actual hand movement. Motor Imagery is detected from subjects
EEG.
http://www.youtube.com/watch?feature=player_embedded&v=yeVBM0fldlM
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Nebojša Malešević, dipl. eng.
Objective of the project: Improvement of surface functional electrical stimulation through use of multi-pad electrodes.
Outcomes
• Novel design of electrical stimulator and multi-pad electrodes for FES
• Algorithm for optimization of FES parameters
• Introducing selective and fatigue resistant stimulation patterns
• Real-time modification of stimulation based on sensor feedback
• Restoration of grasp function
• Drop-foot correction application
INTFES system is clinically evaluated in the Institute for
Rehabilitation „Dr Miroslav Zotovic“, Belgrade.
INTFES project: Optimization procedure for hand opening, http://www.youtube.com/watch?v=ocGWz1g8MP4
M. Sc. Matija Štrbac
Objective of the project: use of computer vision and image processing algorithms to make human like decisions and later automatize the control of the functional electrical stimulation.
Construction of stereovision camera
Use of the popular imaging sensors
In order to gather all the information required to recognize the patterns
Outcomes
• Adopting the new methodology in control of stimulation in FET.
• Real time hand and object tracking.
• Recognition of the object of interest and the robust grasp type selection.
• Human like decision making rules and appropriate selection of the stimulation parameters
• Significantly lower time demands of adjustments in stimulation parameters and no need for active participation of the therapist in the process
And automatically control stimulation
Hand tracking using the information from the Kinect sensor: http://www.youtube.com/watch?v=6FmRt7zR2qE
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M. Sc. Miloš Kostić
Objective of the project: Improving the motor learning and neurorehabilitation process by developing advanced action representation methods for haptic robots and virtual reality therapy.
RehaAssist for Wii: device which enables patients to play Wii games while practicing movements prescribed by their therapist.
http://www.youtube.com/watch?v=NWmoGHgQp5w
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at the Faculty of Electrical Engineering Brain Awareness Week (BAW) was organized for the first time in year 2011.
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rain Computer Interface from Student-Student Interface was successfully held for the second time at the School of Electrical Engineering, University of Belgrade.
omputer Center Hall will third time in a row host all attendees of the Brain Awareness Week 2013. in organization from Laboratory for Biomedical Instrumentation and Technologies (BMIT).
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15 th March 2013. at 11 h, Computer Center Hall, 1 st floor
The first BAW event was organized three years ago at the Laboratory for Biomedical
Instrumentation and Technologies (BMIT).
Since year 2010. we have actively been studying acquisition and processing methods of EEG signals. We have incorporated our scientific results from this filed into the Bachelor, Master, and PhD courses at the
School of Electrical Engineering, University of Belgrade. We plan to continue this tradition in the future.
Prof. Mirjana Popović, School of Electrical Engineering, University of Belgrade
1.
Problems in conducting clinical research and alternative opportunities in biomedical engineering. (lecturer: prof. Konstantinović Ljubica, from Faculty of Medicine University of Belgrade, and Clinic for rehabilitation “dr Miroslav Zotović”): Planning of research in rehabilitation is faced to specific characteristics of this field. Research in rehabilitation is focused on process not on specific disease that arises difficulties with choosing the outcomes. Multifactorial therapeutical interventions as the second important characteristic are connected with problems with blinding and control of variables.
Multifactorial therapeutical response is the third important feature. Randomization as the main feature of the most valid randomized clinical trial (RCT) is linked to many variables. Choosing of type of study is extremely important in case of research of new therapeutical interventions and interventions with perspective to influence on recovery. It is more appropriate to use alternative single subject or case of subjects clinical design instead of RCT and quasi-experimental studies as “pre-post” or control study without randomization. Conducting of alternative design type of studies potentiate “off” and “on” effects with concurrently systematically measurement of outcomes. Single subject design could be developed in targeted descriptive study or pilot RCT. Descriptive studies enable to target patient´s or intervention´s characteristics. Pilot RCT could show the magnitude of targeted intervention in defined population or specific condition. Choosing of parameters is most important issue in any
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type of study. Great progress is achieved with International classification of functioning that describes damaged structures of the body and consequences on different levels of human functioning. Many existing scales actually measure different levels of functioning that could be in mind in interpreting of research results. (Key words: rehabilitation, study design, alternative study design)
2.
Deep brain recordings and signal analysis using silicon microprobes.
(lecturer: Ivan
Gligorijević PhD, from Department of Electrical Engineering, SCD-SISTA, KU, Leuven,
Kasteelpark Arenberg 10, Leuven 3001, Belgium and IBBT Future Health Department):
Exploration of brain functioning, transfer of information and connectivity of brain networks represents a challenge which is a focus of current neural research.
Furthermore, many neurological disorders like Parkinson's disease (PD), obsessivecompulsive disorders (OCD), Anorexia nervosa (AN) and others are caused by improper functioning of deep brain structures. It has been demonstrated in the past that these disorders can often be alleviated using the deep brain stimulation (DBS), where electrical current stimulation is applied to diminish effects of these conditions. To tackle both exploratory questions about the brain and address medical issues by e.g. finding appropriate targets and ways for meaningful DBS application, it is necessary to use minimally invasive silicon microprobes of new generation. These probes with a high spatial density of electrode contacts can both record neural activity from deep brain structures and be used for electrical stimulation. When recording, it is possible to simultaneously observe 2 distinct signal bands: Local field potentials (LFPs), reflecting common electrical activity of surrounding tissue, and spike trains, reflecting the temporal activity of individual neurons. Both modalities are closely related, yet carry distinct and complementary information. Here, we offer an insight in these probes and their usage, proceeding by a demonstration of 2 cases featuring the mentioned signal distinctive bands. First we show how the analysis of spike trains can reveal the altered neural activity in the presence of obsessive-compulsive disorder in a brain area suspected of being functionally related to this condition. We proceed by showing how the effects of deep brain stimulation can be observed and analyzed combining modern blind source separation (BSS) techniques. These research efforts are meant to enable neuroscientists and neurosurgeons alike to study more complex cognitive processes related to memory and decision-making, enable more accurate diagnosis of neurological disorders, and eventually lead to more effective neural prostheses. The ultimate goal is to implement neurofeedback into closed-loop systems for the targeted modulation/treatment of normal and abnormal neural dynamics using appropriate stimuli. Creating such a platform able to work in a closed-loop system can lead to novel, more efficient strategies for deep brain stimulation and recording.
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3.
Investigating neural correlates of language functions using ERP methodology.
(lecturer: Vanja Ković, PhD, from Faculty of Philosophy, University of Belgrade): The value of the ERP methodology in understanding neural correlates of the cognitive functions, including language, is highly significant. Given that this methodology has an excellent temporal resolution, it gives very valuable insights in the timing of the cognitive actions and functions. As such, it is an important tool for neuroscientists and experimental psychologists, who refer to it as "reaction time of the 21st century". So, for instance, N400 component is very sensitive to contextual and semantic errors/mismatches (e.g. N400 amplitude is higher in the sentence: "I drunk coffee with... carrot." in comparison to "I drunk coffee with... milk.") and thus, provides insights in semantic organization of knowledge. This will be illustrated via example of taxonomic vs. thematic conceptual structure. On the other hand, based on the amplitude and frequency of the the P300 we can conclude about the likelihood of stimuli appearance, easiness of stimuli processing, confidence in responding etc. This will be illustrated via example of sound symbolism.
4.
Morphological computation – The way robots use their computational resources more efficiently.
(lecturer: Kosta Jovanović M. Sc., School of Electrical Engineering,
University of Belgrade): The term robot morphology refers to the physical structure and form of a robot. Therefore, morphology includes robot links and joints characteristics, material properties, as well as motors and sensors characteristics and placements.
Some robot morphologies could be controlled to perform a particular task quite simply requiring low computational resources. On the other hand a slightly different morphology may require much more control complexity. This presentation gives insight in term morphology computation through the mechanism by which the morphology and control trade-off occurs. However, mechanisms underlying this relationship between morphology and control have been unclear. The fact that simple physical interactions give rise to computation indicates the theoretical possibility for the dynamics of the morphology to play a computational role in the system, and thereby to subsume part of the role of control. Thus, it may serve to analyze the relationship between morphology and control, and guide the design of robots with reduced control requirements. Another novel trend in biologically inspired robotics is efficient use of computational resources through the principle of “embodiment”. Presentation gives examples of some robots based on these concepts of embodiment and morphological computation, using inspiration from nature. Following this pattern, these robots have reduced electronic architecture and could use much more simplified control schemes.
At the very end, one of the attempts to build a humanoid robot as a research platform for embodiment and morphological computation is pointed out.
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5.
Brain and walking.
(lecturer: Milica Đurić Jovičić PhD, Innovation Center, School of
Electrical Engineering, University of Belgrade): Human walking is an exceptionally complex task and it requires coordination of a number of different muscles acting on different joints. It is the task of the whole central nervous system (CNS) to generate muscles’ activity, to ensure their optimal coordination, adjusted to the immediate environment, and to make modifications when required. Several different control systems at different levels of the CNS contribute to this control: rhythm generating network in the spinal cord (a spinal stepping generator), the sensory feedback in the control of walking, and descending control from the motor cortex. Man, like other animals, possesses a network in the spinal cord, which is capable of generating the basic rhythmic walking activity. However, the activity of this network depends much more on supraspinal influences than in other animals, and it has been importantly modified to meet the functional requirements of bipedal walking. The neuronal networks in CNS, which are responsible for the generation and control of the muscle activity during walking, need to be organized to ensure that the overall activity of the muscles is coordinated correctly, yet to allow considerable flexibility of the individual muscle activities at the same time. Walking is one of the most difficult tasks we learn in our early childhood. However, once we learn it, it becomes practically subconscious.
Only when walking is disturbed by fatigue, injury, disease or degenerative changes, we become aware of the complexity of this biomechanical process. In order to follow neurorehabilitation process, progress of a disease, or to generate rules for assistive gait systems, we need objective gait analysis. One typical example is neurorehabilitation of movement after cerebro-vascular insult. It is anticipated that this process should facilitate and accelerate plasticity, i.e., regeneration of brain neuronal structures and/or reorganization of the function of neurons. Not only can CNS structure and function change in response to injury, but also, the changes may be modified by activity. For gait training, these activities are related to developing and strengthening motor skills, including coordination and strengthening exercises and functional training. The functional training comprises motor learning including generating close-to-normal movements, proper muscle activation during practice of movement, focused attention, repetition of desired movements through specifically designed training. The final goal of motor rehabilitation is to restore function to that level that it improves the patient’s life quality. Objective measurement of impairment and dysfunction are critical for development of accurately targeted interventions and rehabilitation programs which could contribute to patient’s recovery in the fastest and best possible way. These gait impairments, as well as the effects of rehabilitation process, can be measured and quantified with various sensor systems. Probably the most usable systems for these applications currently are inertial sensor systems which can be mounted on patient’s leg segments and used for gait assessment in any environment.
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Bachelor, Master, and PhD students of the University of Belgrade (UB) will present their projects related to the applications of signal acquisition and processing with the aim to assess directly or indirectly human nervous system. Project titles are:
1.
Protocols and LabVIEW (National Instruments Inc, Austin, USA) based software for H-reflex and EEG signals acquisition.
2.
Evaluation of hand movements in frontal plane based on the Microsoft Kinect IR sensor
3.
Evaluation of SENSY system for gait assessment in patients after central nervous system injury
4.
ERP processing with EEGlab
5.
Using haptic tunnel in motor learning
6.
Thematic vs. Taxonomic brain: an ERP study
7.
Online/Offline software tools for muscle activity processing and acquisition
8.
Virtual menu based on P300 evoked potentials
9.
Detection of imaginary hand/feet movement from EEG signals
Authors of the projects are:
1.
Nevena Vulićević, Bachelor student, School of Electrical Engineering, University of Belgrade
2.
Nevena Blažić, Bachelor student, School of Electrical Engineering, University of
Belgrade
3.
Ivan Topalović, Bachelor student, School of Electrical Engineering, University of
Belgrade
4.
Marko Đurović, Bachelor student, School of Electrical Engineering, University of
Belgrade
5.
Jelena Kljajić, Bachelor student, School of Electrical Engineering, University of
Belgrade
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6.
Milena Okošanović, Bachelor student, School of Electrical Engineering,
University of Belgrade
7.
Slobodan Kočović, Bachelor student, School of Electrical Engineering, University of Belgrade
8.
Vesna Miljanović, Bachelor student, School of Electrical Engineering, University of Belgrade
9.
Jovan Samouković, Bachelor student, School of Electrical Engineering, University of Belgrade
10.
Marija Petrović, Bachelor student, School of Electrical Engineering, University of
Belgrade
11.
Minja Perović, Master student, School of Electrical Engineering, University of
Belgrade
12.
Zoran Ilijić, Bachelor student, School of Electrical Engineering, University of
Belgrade
13.
Luka Greci, Bachelor student, School of Electrical Engineering, University of
Belgrade
14.
Marijana Jovandić, Master student, School of Electrical Engineering, University of Belgrade
15.
Tijana Petrović, Master student, School of Electrical Engineering, University of
Belgrade
16.
Jelena Sučević, student, Faculty of Philosophy, University of Belgrade
17.
Olivera Ilić, student, Faculty of Philosophy, University of Belgrade
18.
Marija Stevanović, Master student, School of Electrical Engineering, University of Belgrade
19.
Bojana Mirković, Master student, School of Electrical Engineering, University of
Belgrade
20.
Vladimir Kojić, Master student, School of Electrical Engineering, University of
Belgrade
21.
Tijana Jevtić, PhD student, School of Electrical Engineering, University of
Belgrade
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All presented projects were reviewed by prof. Mirjana B. Popović and prof. Dejan B.
Popović. The chosen projects will be presented in poster session.
Hand clumsiness test . Based on the Kinect sensor and image processing algorithms, a novel method for evaluation of hand movements was developed. Movements in frontal plane along the predefined circular and rectangular paths were measured in 10 healthy subjects. A novel movement quality measure - Hand Coordination Parameter that comprises precision, steadiness and the movement velocity was formulated. This parameter is a good measure for hand clumsiness and scores a new user of the system.
(demonstrators – Matija Štrbac, PhD student, Jelena Kljajić and Milena Okošanović,
Bachelor students at the School of Electrical Engineering, University of Belgrade).
Contactless arm wrestling . We will demonstrate the use of electromyography (EMG) signals measurement with LabVIEW custom made software application (National
Instruments Inc., Austin, USA) for the control of Arm wrestling competition.
(demonstrators: Nadica Miljković, PhD student, and Vladimir Kojić, Master student,
School of Electrical Engineering, University of Belgrade).
Movement control of a flying object.
The electromyography signals (EMG) are measured on the forearm and used for control of copter to fly. (demonstrators: Mr
Nenad Jovičić, and Matija Štrbac M.Sc., students: Slobodan Kočović, Slobodan Žerajić,
Radoslav Aničić from School of Electrical Engineering, University of Belgrade).
NI LEGO Final Battle: Mind vs.
Strength . Competitors will be chosen randomly among the audience. They will challenge their minds and strength in a “Final battle” game. The two NI Lego robots will be controlled via
EMG and EEG signals acquired from competitors muscles and scalp, respectively. Appropriate mental strategy (alpha wave detection), and EMG amplitude (reaching threshold of electrical muscle activity) will enable robots to compete against each other. The best competitors will win special prices.
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prof. Mirjana Popović, School of Electrical Engineering, University of Belgrade prof. Dejan Popović, School of Electrical Engineering, University of Belgrade
M. Sc. Andrej Savić, School of Electrical Engineering, University of Belgrade and
Tecnalia Serbia Ltd.
M. Sc. Nadica Miljković, School of Electrical Engineering, University of Belgrade and
Tecnalia Serbia Ltd.
Vukica Jekić, School of Electrical Engineering, University of Belgrade
Borjana Bogdanović, School of Electrical Engineering, University of Belgrade
Stefan Borovac, School of Electrical Engineering, University of Belgrade
M. Sc. Matija Štrbac, School of Electrical Engineering, University of Belgrade
PhD Milica Đurić-Jovičić, School of Electrical Engineering, University of Belgrade
M. Sc. Miloš Kostić, School of Electrical Engineering, University of Belgrade
Nebojša Malešević, dipl. eng.
, School of Electrical Engineering, University of Belgrade and Tecnalia Serbia Ltd.
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As we started our collaboration last year, we continued it this year and supported each other with the Student Section of Neurosciences, Neurscience Society, Republic of Serbia and
Neurology clinic, Clinical center of Serbia. You can find more at the http://ssneuronauke.yolasite.com
and on http://www.nsm.rs/.
The event is organized by 31 institutions in 2 cities (Belgrade and Novi Sad) at 14 locations.
BMIT is listed as one of the partners of the event All Brains in One Place . During exibitions,
BMIT will present electrophysiology based robot control and games to the youngest and oldest visitors at the Gallery of Serbian Academy of Sciences and Arts and at the Children's Cultural
Center in Belgrade.
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Exhibition of Laboratory for Biomedical Instrumentation and Technologies (BMIT), School of Electrical
Engineering, University of Belgrade at the Children's Cultural Center in Belgrade
11 th March, 2013 , 12:00-15:00
At the exhibition, we will present control of NI Lego robot by strategy of mental relaxation. The degree of relaxation will be measured by electroencephalography method (EEG): detection of alpha activity. Visitors will be able to see EEG measurement setup, real-time data, and volunteers from the audience will be able to take part in the demonstration. Exhibition will also include robot control by the electrical activity of muscles on the hand. The activation level will be determined by the electromyography measures (EMG) and threshold level detection.
Demonstrators: Marija Stevanović (master student), Nadica Miljković (PhD student), Andrej Savić
(PhD student) from School of Electrical Engineering, University of Belgrade.
Exhibition of Laboratory for Biomedical Instrumentation and Technologies (BMIT), School of Electrical
Engineering, University of Belgrade in SANU Gallery (Serbian Academy of Sciences and Arts)
12 th March, 2013, 10:00-12:00
Exhibition will include NINTENDO Wii games control by the electrical activity of muscles on the hand. The activation level will be determined by the electromyography measures
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(EMG) and threshold level detection. Visitors will be able to take part in the strength based gaming demonstration from 10 to 12 hours.
Demonstrators: Luka Greci (bachelor student), Slobodan Kočović (bachelor student), Ivan
Topalović (bachelor student), Nadica Miljković (PhD student), Miloš Kostić (PhD student) from
School of Electrical Engineering, University of Belgrade.
Exhibition of Laboratory for Biomedical Instrumentation and Technologies (BMIT), School of Electrical
Engineering, University of Belgrade in SANU Gallery (Serbian Academy of Sciences and Arts)
13 th March, 2013, 10:00-12:00
We will present a system for analysis of gait parameters. Recordings of the kinematics with the system will be demonstrated and online signals from wireless inertial sensors
(accelerometers and gyroscopes) placed on leg segments will be shown. Kinetic parameters from force sensors within shoe insole will be presented.
Demonstrators: Milica Đurić-Jovičić PhD from Innovative center, School of Electrical Engineering,
University of Belgrade and Minja Perović (Master student) from School of Electrical Engineering,
University of Belgrade.
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Activity of Tecnalia Serbia is related to the research and experimental development in technical and technological sciences in health, with the aim of obtaining results that may be patent, and whose owner is the founder Tecnalia Spain. Expertise in technologies includes Biomedical
Engineering related topics (design of electrophysiological instruments, design if control systems for neural prosthesis, design of FES stimulators, design of movement related assistive technologies, design of life activity monitoring systems, design of biomedical electrodes), and
Biomaterials related topics (natural and synthetic polymeric electrolytes, natural and synthetic encapsulation systems, elastomeric polyesters, citric acid based scaffolding systems, biocompatible metals and alloys).
TECNALIA SERBIA Ltd., www.tecnalia.com
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School of Electrical Engineering, University of Belgrade has become NI LabVIEW Academy School at the 1 st
October 2010. Practicum: LabVIEW software follows original NI LabVIEW Core 1&2 courses. National Instruments organizes every year free NI Certified LabVIEW Associate Developer
(CLAD) exams at the end of the courses.
Snapshots from LabVIEW competition 2011
Snapshots from LabVIEW competition 2012
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Since 2011. in School of Electrical Engineering, University of Belgrade, BMIT in cooperation with
National Instruments (National Instruments Inc., Austin, USA) has organized LabVIEW competition for students from Technical Faculties in Serbia and Macedonia.
BMIT will organize LabVIEW student competition in October 2013!
"In cooperation with the Faculty of Electrical
Engineering, National Instruments and UNO-
LUX NS d. o.o. held an introductory lecture on
LabVIEW environmental development on
Thursday 7th , February 2013. Trainers Dr
Milica Janković and MSC. Miloš Kostić talked to students about the basic characteristics of the environmental development. " More at http://mg.edu.rs/ .
PhD student from BMIT, M. Sc. Miloš Kostić, and former students from BMIT lab M. Sc. Momčilo
Prodanović and M. Sc. Miloš Radulović are the winners of NIDays 2012 Case Study Contest organized by national Instruments in Serbia on 13th November 2012. They submitted the following paper: Using LabVIEW and Wii to introduce fun in post-stroke rehabilitation and won the
Lego Mindstorm as the sign of the appreciation for their great work from National Instruments.
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UNA Systems main line of work is the design and production of models and prototypes of instrumentation for research in medicine. UNA Systems is a company with the established close collaboration with the Laboratory for Biomedical Instrumentation and Technologies (BMIT), School of Electrical Engineering, University of Belgrade, and Laboratory for Automatic Control, University of Novi Sad, Faculty of Technical Sciences.
e-mail: una.sistemi@yahoo.com
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European Youth Card Association International Student Identity Card
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