International Journal of Application or Innovation in Engineering & Management (IJAIEM)
Web Site: www.ijaiem.org Email: editor@ijaiem.org, editorijaiem@gmail.com
Volume 2, Issue 3, March 2013
ISSN 2319 - 4847
A Real-time Ingenious System for Remote
Health Assistance
Vilas D. Ghonge1, Vijay S.Gulhane2, Nitin D.Shelokar3
1
ME (CSE) Scholar, Department of CSE,
Sipna College of Engg. & Tech. Amravati,
2
Associate Professor, Department of CSE,
Sipna College of of Engg. & Tech. Amravati ,
3
Assistant Professor, Department of CSE,
Sipna College of of Engg. & Tech. Amravati
ABSTRACT
In this paper we describe an ingenious system approach to the doctor to inform a complete health information control of a
distant patient using real time system. The discussed system is a medical electronic informational platform for diagnostic use,
which permits the doctor to carry out a complete health information of a remote patients in real time. In fact, as if the doctor is
present personally near the patient, the system allows him to receive, the data simultaneously at the acquisition (in real time).
The system consists of two parts: a patient station and a doctor station, both compact and light easily transportable both the
positions are composed of committed laptop, hardware and software. Classification is an important tool in medical diagnosis
decision support to diagnosis disease. The data is separated into inputs and targets the diagnosis of disease.
Keywords: Wireless communication network, diagnosis, wireless sensors, remote monitoring.
1. INTRODUCTION
The rapid growth in physiological sensors, low-power integrated circuits, and wireless communication has enabled a
new generation of wireless sensor networks, now used for purposes such as monitoring traffic, crops, infrastructure, and
health. The body area network field is an interdisciplinary area which could allow inexpensive and continuous health
monitoring with real-time updates of medical records through the Internet. A number of intelligent physiological
sensors can be integrated into a wearable wireless body area network, which can be used for computer-assisted
rehabilitation or early detection of medical conditions. This area relies on the feasibility of implanting very small
biosensors inside the human body that are comfortable and that don't impair normal activities. The implanted sensors
in the human body will collect various physiological changes in order to monitor the patient's health status no matter
their location. The information will be transmitted wirelessly to an external processing unit. This device will instantly
transmit all information in real time to the doctors throughout the world. If an emergency is detected, the physicians
will immediately inform the patient through the computer system by sending appropriate messages or alarms.
Nowdays, wireless sensors are to be used in remote healthcare management system. The population is increasing
rapidly hence it is very essential to implement such a kind of system .Our proposed system is a medical electronic
informational platform for diagnostic use, which allows the doctor to carry out a complete health information on remote
patients in real time . In fact, as if the doctor is present personally near the patient, the system allows him to receive,
the data in simultaneously.
Fig1. Wireless body area network.
Volume 2, Issue 3, March 2013
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International Journal of Application or Innovation in Engineering & Management (IJAIEM)
Web Site: www.ijaiem.org Email: editor@ijaiem.org, editorijaiem@gmail.com
Volume 2, Issue 3, March 2013
ISSN 2319 - 4847
This section describes the network requirement for the proposed system. It mainly consist of the following three parts
2. THE SYSTEM COMPOSED OF
1) Wireless Body Area Network ;
2) Personal Server using IPDA;
3) Medical Server for Healthcare Monitoring
Part1:-Wireless body area network.
A wireless body area network is a wireless network of wearable computing devices. It consist of several miniaturized
body sensor units (BSUs) together with a single body central unit . A wireless body area network system can use
wireless personal area network technologies as gateways to reach longer ranges.
Sensor is used in order to sense physiological data from the patients body.
The work to perform local data processing such as data compression is performed with the help of microcontroller. The
sensed data is temporary stored in memory. The communication between nodes and physiological devices is carried out
with the help of Radio Transceiver[6].
Sensor nodes can sense, sample, and process one or more physiological signals. To illustrate this we take an some
example 1] electrocardiograph can be used to check heart activity ,2]a blood pressure sensor can be used for
monitoring heart activity.
Fig 2.Personal computer network
Part2:- Personal Computer Network
The personal computer network consist of special communication protocol. This network is to be implemented on
personal digital assistant. It provides permission to the doctor in order to get access. It collects physiological signal
from wireless communication network and process them, and prioritizes. The transmission of critical data when there
is sudden clinical change in the current patient condition.
2.1 Automatic Sensing, and Secure, Light-weight Protocol
As patient information is wirelessly transmitted between sensors, security and reliability are paramount in the design of
BSNs. Several protocol designs have been experimented for wearable medical device applications. For instance, a
HTTP based protocol is proposed by Dokovsky et al. for transmitting sensor data to remote health care provider via the
mobile phone network [18]. A TinyOS based protocol with EEC (Elliptic Curve Cryptography) key encryption has
recently been used by Lorincz et al. for transmitting the physiological data between sensors [20]. The newly formalised
Zigbee protocol and IEEE 802.15.4 standard for wireless sensor networks have incorporated a security layer in the
protocol design. Hardware encryption has been adopted in several commercially available IEEE802.15.4 compliant
chipsets, such as the Chipcon CC2420 [22] and Ember EM2420 [23]. It is expected that issues related to selfmanagement, self-healing, and self-organisation based on light-weight network protocols will be the key research topics
for BSN in future research.
In order to perform the above application we can use communication protocols like GPRS,WWAN. In order for IPDA
to improve the overall quality of service for data transmission, in terms of latency, band-width and power consumption
a differentiated service based on two schemes are presented. They are priority scheduling and data compression. This
method reduces energy consumed by the IPDA during transmission since only the critical vital signs will transmit first
while less critical signs are stored and transmit later.
Part3:- Medical server at hospital.
Medical server is present at the hospital .Medical server receives the data from the personal server. The medical server
has an very important role as it is capable of learning patient specific disease and also learns from previous treatment
records of a patient. The main role of a medical server is to store the record of a remote patient but that record is
Volume 2, Issue 3, March 2013
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International Journal of Application or Innovation in Engineering & Management (IJAIEM)
Web Site: www.ijaiem.org Email: editor@ijaiem.org, editorijaiem@gmail.com
Volume 2, Issue 3, March 2013
ISSN 2319 - 4847
accessible to the general practitioners, specialists and doctors from their offices in the hospital over the internet. The
medical status of the patient is observed by the medical staff.
The doctor from medical center can access the data and it tally from patient office via the internet and then examine the
medical condition of the patient. If the patient is in remote area, the doctor check the patient and prescribe the medical
either to the patient or to the doctor present in that remote area. This process is to be carried out with the help of our
communication network.
3. DISEASES AND BIOSENSORS ASSOCIATED WITH THEM
Pulse rate of heart is measured with the help of skin or chest electrode. Blood circulation in veins is measured with the
help of Arm-cuff based Monitor. Breathing rate is measured with the help of Piezoelectric sensor. Amount of oxygen is
measured with the help of Pulse Oximeter. Skin electrodes are used in order to measure frequency of cardiac cycle. The
work of stethoscope is accomplished with the help of Phonocardiograph. The activity of sweat glands is measured with
the help of Galvanic Skin responses sensor . Strip based glucose meter is used to measure amount of Glucose in the
blood [21].
Diseases and its characteristics.
Diabetes.
Diabetes, is a group of metabolic diseases in which a person has high blood sugar, either because the pancreas does not
produce enough insulin, or because cells do not respond to the insulin that is produced [7]. This high blood sugar
produces
the
classical
symptoms
of polyuria (frequent
urination), polydipsia (increased
thirst)
and polyphagia (increased hunger).
Asthama.
Asthma is a common chronic inflammatory disease of the airways characterized by variable and recurring symptoms,
reversible airflow obstruction, and bronchospasm. Common symptoms include wheezing, coughing, chest tightness,
and shortness of breath. Asthma is thought to be caused by a combination of genetic and environmental factors [8]. Its
diagnosis is usually based on the pattern of symptoms, response to therapy over time, and spirometry.A Portable Global
Positioning System device was developed by chu et al.[19] that continuously consult a remote server by sensing users
reports to decide whether current ambient air quality will threaten users health. Due to the remote diagnosis of
respiratory and cardiovascular system doctor can easily detect asthama and further treatment can be done easily.
Cardiovascular diseases.
Cardiovascular disease is a class of diseases that involve the heart or blood vessels (arteries, capillaries and veins).
Cardiovascular disease refers to any disease that affects the cardiovascular system, principally cardiac disease, vascular
diseases of the brain and kidney, and peripheral arterial disease. The causes of cardiovascular disease are diverse
but atherosclerosis and/or hypertension are the most common [9]. This system is most useful in the treatment of heart
disease as it continuously sense, process and transmit physiological data from personal server to Medical diagnosis
server, due to this doctor can immediately treat the heart patient.
Cancer detection
Cancer is a broad group of various diseases, all involving unregulated cell growth. In cancer, cells divide and grow
uncontrollably, forming malignant tumors, and invade nearby parts of the body. The cancer may also spread to more
distant parts of the body through the lymphatic system or bloodstream [10]. Not all tumours are cancerous. Due, to the
our communication network doctor can easily detect cancer or tumour cell of the patient. hence ,it is very useful in early
detection and diagnosis of cancer.
Artificial retina
A visual prosthesis, often referred to as a bionic eye, is an experimental visual device intended to restore functional
vision in those suffering from partial or total blindness [11]. Many devices have been developed, usually modeled on
the cochlear implant or bionic ear devices, a type of neural prosthesis in use since the mid-1980s.
4. CHALLENGES ASSOCIATED WITH OUR NETWORK
Remote health technology is still emerging and there are a lot of problem left to solve. In this system we have to face
many technical and privacy related problem. The another important problem is that basic wireless network protocols,
but there is still a large amount of research that must be done to effectively propagate a signal in and around the human
body.
Challenges associated with communication network
There is a requirement of secure and reliable communication network in between mobile, sensor and handheld devices .
There is a requirement of different software and strategy of company associated with the above devices.
Volume 2, Issue 3, March 2013
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International Journal of Application or Innovation in Engineering & Management (IJAIEM)
Web Site: www.ijaiem.org Email: editor@ijaiem.org, editorijaiem@gmail.com
Volume 2, Issue 3, March 2013
ISSN 2319 - 4847
Challenges associated with Computation
Sensor network are very sensitive in nature and computation associated with them is in fraction of nature
Challenges associated with Programming
During the installation of sensor and some other wireless devices there is a requirement of connectivity and
programming, it is somewhat difficult as compared to that of other systems.
5. FUTURE CHALLENGES AND IMPLEMENTATION
Although such a kind of diagnosis is new in medical field but it has tremendous scope in the future world as in todays
life people are facing many physical and mental problem and also they have no time to visit doctors again and again .
sometimes there is a requirement of immediate treatment to the patient. In future this system is very useful.
Future challenges are to be classified in following steps
1)Communication system for remote health assistance.
Communication was performed mainly using 2nd generation mobile telecommunication system. Such as the GSM
which is a standard used almost everywhere in the world. Recently in many countries 3G mobile networks like the
UMTS are used, which provides speed up to 2Mbps . There are many new services like video telephony through
wireless networks will be an addition that can help with communication between a health care provider and an expert
doctor.
2)Remote Computing Technology.
Remote computing technology is making progress rapid and continuous. Modern computer systems are smaller in size
and weight. Due to the smaller size and weight these devices are being used in wireless telemedicine application for the
implementation of wireless telemedicine systems we can use devices like as PDAs, smart phones ,small size laptops,
pen tablets pc etc.
3)Biosignals.
The main role of biosignals are to be performed with the help of ECG but nowdays there are many small expensive
devices are used in order to carry the biosignal . These devices are to be connected with the computer with GPRS
wireless connectivity. These devices are small in size so that they mightbe wearable.
4)Emerging trends in telemedicine system.
The future needs of signal and image are to be proceed with the help of real-time colour video signals. In future there
is a strong demand in order to use smaller, low-power,compact computing devices . Due to the high-bandwidth
requirements, image and video compression methods will continue to play an important role in future, real-time
collaborative environments.
5)Other important issues.
Legal liability, ethical issues as well as the workflow of this services will have to change to enable the effective and
efficient use of our system.
6. CONCLUSION
In this paper we tried to implement a communication network which helps us in early detection of diseases. This paper
is mostly useful in case of cardiovascular disease (heart diseases) as they causes sudden death. This communication
network helps us in ensuring human life.
Medical diagnosis based on wireless communication is one of the important topic of researchers study. This application
is very helpful to the mankind.
REFERENCES
[1.] J. Ko, J. Lim, Y. Chen, R. Musaloiu-E., A. Terzis, G. Masson, T. Gao, W.Destler, L. Selavo, and R. Dutton,
BMEDiSN: Medical emergency detection in sensor networks,[ ACM Trans. Embedded Comput. Syst., vol. 10, no.
1, pp. 11:1–11:29, 2010, article 11.
[2.]P. Yager, T. Edwards, E. Fu, K. Helton, K. Nelson, M. R. Tam, and B. H. Weigl, BMicrofluidic diagnostic
technologies for global public health,[ Nature, vol. 442, no. 7101, pp. 412–418, 2006.
[3]. Coosemans, J.; Puers, R. An autonomous bladder pressure monitoring system. Sens. Actuat. A 2005, 123-124, 155161.
Volume 2, Issue 3, March 2013
Page 353
International Journal of Application or Innovation in Engineering & Management (IJAIEM)
Web Site: www.ijaiem.org Email: editor@ijaiem.org, editorijaiem@gmail.com
Volume 2, Issue 3, March 2013
ISSN 2319 - 4847
[4]. Mohseni, P.; Najafi, K.; Eliades, S.; Wang, X. Wireless multichannel biopotential recording using an integrated
FM telemetry circuit. IEEE Trans. Neural Syst. Rehabil. Eng. 2005, 13, 263-271.
[5].Mark, A.H.; Harry, C.P., Jr.; Adam, T.B.; Kyle, R.; Benton, H.C.; James, H.A.; John, L. Body Area Sensor
Networks: Challenges and Opportunities; IEEE Computer Society: Atlantic City, NJ, USA, 2009; pp. 58-65.
[6]. B. Lo and G. Z. Yang, “Key Technical Challenges and Current Implementations of Body Sensor Networks,” 2005.
http://ubimon.doc.ic.ac.uk/bsn/public/bsn-2005-Benlo.pdf.
[7]. Text Available (Online):http://en.wikipedia.org/wiki/Diabetes_mellitus.
[8].Text Available (Online):http://en.wikipedia.org/wiki/Asthma.
[9].Text Available (Online):http://en.wikipedia.org/wiki/Cardiovascular_disease .
[10]. Text Available (Online):https://en.wikipedia.org/wiki/Cancer.
[11].Text Available (Online):http://en.wikipedia.org/wiki/Visual_prosthesis.
[12.] O. Chipara, C. Lu, T. C. Bailey, and G.-C. Roman, BReliable patient monitoring: A clinical study in a step-down
hospital unit,[Dept. Comput. Sci. Eng., Washington Univ. St. Louis, St. Louis, MO, Tech. Rep.WUCSE-2009- 82,
Dec. 2009.
[13.]K. Lorincz, B. Chen, G. W. Challen,A. R. Chowdhury, S. Patel, P. Bonato, and M. Welsh, BMercury: A wearable
sensor network platform for high-fidelity motion analysis,[ in Proc. 7th ACM Conf. Embedded Netw. Sensor Syst.,
2009, pp. 353–366.
[14] O. Aziz, B. Lo, R. King, A. Darzi, and G.-Z. Yang, "Pervasive Body Sensor network: an Approach to Monitoring
the Postoperative Surgical Patient," in International Workshop on Wearable and implantable Body Sensor
Networks (BSN 2006), Cambridge, MA, USA, 2006.
[15] Mohseni, P.; Najafi, K. A 1.48-mw low-phase-noise analog frequency modulator for wireless biotelemetry. IEEE
Trans. Biomed. Eng. 2005, 52, 938-943.
[16]. Troyk, P.; Schwan, M. Closed-loop class E transcutaneous power and data link for microimplants. IEEE Trans.
Biomed. Eng. 1992, 39, 589-599.
[17].Quwaider, M.; Biswas, S. Body posture identification using hidden Markov model with a wearable sensor network.
In Proceedings of the ICST 3rd International Conference on Body Area Networks, Tempe, AZ, USA, March 2008;
pp. 1-8
[18]. Dokovsky N., Halteren A. and Widya I. 2003. International Workshop on scientific engineering of Distributed
Java applications
[19].H.-T. Chu, C.-C. Huang, Z.-H. Lian, and T. J. P. Tsai, "A Ubiquitous Warning System for Asthma Inducement,"
in IEEE International Conference on Sensor networks, Ubiquitous and Thrustworthy Computing, Taichung,
Taiwan, 2006, pp. 186-191.
[20]. Lorincz K., Malan D., Fulford-Jones T.R.F., Nawoj A., Clavel A., Shnayder V., Mainland G., Moulton S. and
Welsh M. 2004. IEEE Pervasive Computing, Special Issue on Pervasive Computing for First Response
[21]. Narendra Kumar, Alok Aggrawal and Nidhi Gupta ,Wearable Sensors for Remote Healthcare Monitoring
System”,International Journal of Engineering Trends and Technology-Volume3Issue1-2012
[22].http://www.chipcon.com/files/CC2420_Data_Sheet_1_2.pdf
[23].http://www.ember.com/products/chips/em2420html.
[24]. M. Seyyed, et al., “Fuzzy Logic Expert Systems in Hos-pital: A Foundation View,” Journal of Applied Sciences,
Vol. 11, No. 12, 2011, pp. 2106-2110.
[25]. S. A. Taylor and H. Sharif, "Wearable Patient Monitoring Application (ECG) using Wireless Sensor Networks,"
in 28th Annual International Conference on the IEEE Engineering in Medicine and Biology Society, New York,
NY, USA, 2006, pp. 5977-5980.
[26]. S. Sur, T. Crotty, G. Kephart, B. Hyma, T. Colby, C. Reed, L. Hunt, and G. Gleich, "Sudden-onset Fatal Asthma:
a Distinct Entity with few Eosinophils and Relatively More Neutrophils in the Airway Submucosa?," in PMID:
8368644 [PubMed - indexed for MEDLINE]. vol. 148 (3): Am Rev respir Dis, 1993.
[27] E. Jovanov, A. O. D. Lords, D. Raskovic, P. G. Cox, R. Adhami, and F. Andrasik, "Stress Monitoring Using a
Distributed Wireless Intelligent Sensor System," IEEE Engineering in Medicine and Biology Magazine, pp. 49-55,
2003.
[28].K. W. Goh, J. Lavanya, Y. Kim, E. K. Tan, and C. B. Soh, "A PDAbased ECG Beat Detector for Home Cardiac
Care," in IEEE Engineering in Medicine and Biology Society, Shanghai, China, 2005, pp. 375-378.
[29].J.-L. Lin, H. C. Liu, Y.-T. Tai, H.-S. Wu, S.-J. Hsu, F.-S. Jaw, and Y.-Y. Chen, "The Development of Wireless
Sensor Network for ECG Monitoring," in 28th Annual International Conference of the IEEE, Engineering in
Medicine and Biology Society, New York, NY, USA, 2006, pp. 3513-3516.
[30].J. Kolbe, W. Fergursson, and J. Garret, "Rapid Onset Asthma: a Severe but Uncommon Manifestation," Thorax,
vol. 53, pp. 241- 247, April April 1998.
[31] K. Lorincz, D. J. Malan, T. R. F. Fulford-Jones, A. Nawoj, A. Clavel, V. Shnayder, G. Mainland, M. Welsh, and
S. Moulton, "Sensor Networks for Emergency Response," IEEE Pervasive Computing, vol. 3, pp. 16-23, OctoberDecember 2004 2004.
Volume 2, Issue 3, March 2013
Page 354
International Journal of Application or Innovation in Engineering & Management (IJAIEM)
Web Site: www.ijaiem.org Email: editor@ijaiem.org, editorijaiem@gmail.com
Volume 2, Issue 3, March 2013
ISSN 2319 - 4847
AUTHOR
Mr. Vilas D. Ghonge, Received Bachelor of Engineering in Information Technology from RTM Nagpur University &
Pursuing Master of Engineering in CSE from Sipna College of Engineering and Technology, Amravati.
Prof. Mr.Vijay S. Gulhane, Received the Master of Engineering in CSE, pursuing Ph.D from SGB Amravati
University and having 17 years experience. Working as a Associate Professor at Sipna College of Engineering and
Technology. Amravati.
Prof. Mr.Nitin D. Shelokar, Received the Master of Engineering in CSE .Working as a Assistant Professor at Sipna
College of Engineering and Technology. Amravati.
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