souvenir beats 2010

8/12/2019 Souvenir BEATs 2010

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Copyright (C) 2010; Dr. B. R. Ambedkar National Institute of Technology, Jalandhar 144 011, India

All data, views, opinions, etc. being published are the sole responsibility of the authors and neither

the publisher nor the organizers of the conference are responsible for them


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Abstract INTERNATIONAL CONFERENCE ON BIOMEDICAL ENGINEERING & ASSISTIVE TECHNOLOGIES-2010

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ABOUT NITJ

Dr B R Ambedkar National Institute of Technology was established in the year 1987 as Regional Engineering

College and was given the status of National Institute of Technology (Deemed University) by the Government of

India on October 17, 2002 under the aegis of Ministry of Human Resource Development, New Delhi. Now the

Ministry of Human Resource Development, Government of India has declared the Institute as Institute of National

Importance under the act of Parliament-2007. The Institute has been placed amongst top 50 engineering

institutions of the country as per the survey conducted by Mint-C Fore in the year 2008. The survey was based uponvital parameters, such as curriculum, quality of academic input, students care, admission procedure, infrastructure,

placements and overall goodwill of the Institute. A large number of reputed Industrial houses in the country visit the

Institution and select the final year students as Engineers/ Management Trainees. The highest pay package offered to

the B Tech students (Batch 2005-2009) has been Rs 7.2 lakhs per annum by M/S NTPC Delhi.

As one of the National Institutes of Technology (NIT), the Institute has the responsibility of providing high quality

education in Engineering, Technology and Sciences to produce competent technical and scientific manpower for the

country. The Institute offers B Tech, M Tech, M Sc & Ph D programmes in the several disciplines of engineering,

technology and Sciences.

Vision

To build a rich intellectual potential embedded with interdisciplinary knowledge, human values and professionalethics among the youth, aspirant of becoming engineers and technologists, so that they contribute to society and

create a niche for a successful career.

Mission

To become a leading and unique institution of higher learning, offering state-of-the-art education, research and

training in engineering and technology to students who are able and eager to become change agents for the industrial

and economic progress of the nation. To nurture and sustain an academic ambience conducive to the development

and growth of committed professionals for sustainable development of the nation and to accomplish its integration

into the global economy.

Department of Instrumentation & Control Engineering

The Department of Instrumentation and Control Engineering commenced its Bachelor of Technology (B. Tech)degree programme in 1990. Initially, the degrees were awarded by Guru Nanak Dev University (GNDU) Amritsar.

Subsequently, the Institute/Department was affiliated to the newly set-up Punjab Technical University for the period

July 1997 through October 2002. Since October 2002 the Institute has been accorded Deemed University Status

enjoying complete academic autonomy. Instrumentation and Control Engineering is a well-diversified discipline.

Many areas of specialization namely Process Instrumentation, Control Systems, Biomedical Engineering etc. have

grown by leaps and bounds and have emerged as full fledged disciplines in themselves. Training students in all these

areas is as an uphill and challenging task. Therefore, every effort has been made while developing curricula to

ensure full cognizance of all value elements among students. A holistic approach has been adopted while framing

curriculum, updating infrastructural facilities and improving coaching methods. The courses, which have not find a

berth in the core curriculum have been incorporated as elective courses. The teaching scheme has been enriched by

the valuable inputs of experts of respective fields from prestigious institutions / organizations such as IIT Roorkee

and IIT Delhi, R&D organizations like CSIO and leading industries of the region. All this has become possible with

the grant of Deemed-to-be-University status to the Institute. Now the Institute/Department has full academic

autonomy to frame its own curricula, implement a Credit Based semester system, devise a process of continuous

evaluation of students performance with total transparency and finalize Letter Grades of students. The Department

had submitted a proposal to AICTE to begin Post Graduate Programme in Control Systems. The sanction for the

same with an annual intake of 10-students was given to the Department in the year 2002. However, the admissions

could not be made due to absence of relevant guidelines from the MHRD, New Delhi. The Department now plans to

start afresh regular Post Graduate programmes. It is hoped that we shall get consent from MHRD New Delhi very

shortly. Further, the Department is consolidating its efforts to promote industrial research and consultancy in

appropriate areas of Instrumentation and Control Engineering. Besides teaching assignments, research activities in

emerging areas like Digital Control Systems including SCADA and PLC Distributed Control System Intelligent


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Instrumentation System using Microprocessor and Computers Biomedical Instrumentation Systems Transducers and

Smart Sensors and Robotics have also been initiated. The Department is also developing a Virtual Instrumentation

Laboratory and an Instrumentation Calibration Centre, which will offer calibrating facilities for wide range of

electrical analog and digital instruments.

Department of Electronics & Communication Engineering

The Department of Electronics and Communication has been active in teaching and research since its inception in1989. With all faculty members engaged in research in the areas of Communication and Signal processing,

Computing, Microelectronics, VLSI Design and Intelligent Systems. The department is equipped with state of the

art research facilities and infrastructure for the latest experimental and computational facilities for taking up research

and development for consultancy activities in various fields. A number of challenging projects are in progress in

various areas and are funded by government agencies and private industries. Research problems are also being

addressed in collaboration with universities in India and abroad. Participation in workshops and conferences, both at

national and international level are a regular feature in the department providing an opportunity to meet researchers

for interaction and exchange of ideas.


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Message from Chairperson, Board of Governors, NITJ

It is a matter of immense pleasures that Department of Instrumentation & Control Engineering in

association with Department of Electronics & Communication Engineering at Dr. B R AmbedkarNational Institute of Technology, Jalandhar is organizing International Conference on

Biomedical Engineering and Assistive Technologies (BEATs-2010), from December 17-19,

2010.

The breadth of knowledge in the life and physical sciences has grown exponentially, while

technology has become increasingly complex. At the same time, the business of deliveringquality health care has become increasingly difficult and expensive. Creating new, cost-effective

medical devices that improve patient care requires a collaborative approach that focuses on the

needs of patients, physicians and the health care industry as a whole. Indias thriving economy is

driving urbanization and creating an expanding middle class, with more disposable income tospend on healthcare. To make India a global superpower by 2020, it is imperative that Indias

healthcare sector needs still higher growth rate. To take up the challenges posed to the Indian

health sector by opening up of the economy, it is essential that technological advancementshappening worldwide in this sector are deliberated upon at such conferences with regard to their

adoption in India. The organization of this conference is indeed a very timely initiative in this

regard.

I am sure that this confluence of academicians, researchers and industrialists shall serve as a

platform to synergize the thinking and will help India in maintaining the competitive edge in the

biomedical engineering and allied areas.

I look for a very successful and fruitful event in the form of BEATs-2010.

Mrs Sushma Berlia

Chairperson Board of Governors


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IEEE Delhi Section

e-mail: [email protected] URL:http://www.ewh.ieee.org/r10/delhi

Dr. V.R. Singh, Fellow-IEEE

Chairman-I EEE Delhi

c/o NPL

Address: 35-B, Pocket-B

Siddhartha Extn., New Delh i

110014;

Email:[email protected]

December13, 2010

MESSAGE

I am very happy to note that International Conference on Biomedical Engineering and Assistive

Techniques (BEATS-2010) is being organized by Dr. B. R. Ambedkar National Institute of

Technology, Jalandhar, India, in collaboration with IEEE-Delhi Joint Chapter of Engineering in

Medicine and Biology Society (EMBS) and Instrumentation and Measurements Society (IMS)on December 17-19, 2010.

Biomedical Engineering is an interdisciplinary area covering all disciplines of engineering and

science and it directly relates to the health care technologies responsible for better living.Biomedical engineering research includes development of materials, sensors, devices and

instrumentation systems. Standardization and calibration of the biomedical equipment/systems is

also important to achieve global conformity of the products.

These days, main emphasis is being placed on the new thrust areas like nano-biotechnology, tele-

health care systems, bio-sensors, combined- diagnostic- and- therapeutic tools, image processing,

assistive devices and implants, green bio-environment, wearable sensors, ubiquitousbiotechnology, etc. I am sure, the recent advances and future aspects of biomedical engineering

will be covered in the presentations from participants coming from different parts of the country.

The indigenous development of emerging technologies will result into low cost devices for betterhealth care even in the remote areas. The delegates will gain up to knowledge in the field and

will learn more through mutual discussions.

I wish the Conference a grand success.

Dr. V.R.Singh, F-IEEE

Chair- IEEE Delhi section

Chair- IEEE- EMBS/IMS Delhi Chapter
mailto:[email protected]:[email protected]


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MESSAGE

I extend my hearty congratulations to the Department of Instrumentation & Control Engineering and

Department of Electronics & Communication Engineering, Dr. B. R. Ambedkar National Institute ofTechnology, Jalandhar, for organizing the International Conference on Biomedical Engineering andAssistive Technologies 2010 (BEATs-2010). I am pleased to see the extensive list of papers to be

presented at the Conference: the large number of papers as well as their broad coverage of diverse topics

and problems are impressive.

Biomedical Engineering has established itself very well as an important specialization spanning the

domains of Engineering, Medicine, and Science. The applications of biomedical signal processing andmedical imaging in advanced diagnostics are well known and used in routine clinical practice; methodsderived from these subject areas have proven their contributions in terms of early diagnosis and improved

treatment of several types of pathology, as well as increased survival rates and longevity. Furthermore,Biotechnology and Assistive Technologies are contributing towards improved quality of life. The papers

being presented at BEATs-2010 represent enhancement of knowledge and technical know-how in severalspecialized topics within the broad domains mentioned above. In addition, they represent developments ofmethods and systems that take into account the needs and conditions encountered in India.

I am pleased to participate in BEATs-2010 and wish the Organizing Committee and the participantssuccess in their endeavor.

Rangaraj M. Rangayyan, PhD, PEng, FIEEE,FEIC, FAIMBE, FSPIE, FSIIM, FCMBES, FCAE"University Professor", Professor, Department of Electrical and Computer Engineering

Schulich School of Engineering, Adjunct Professor of Surgery and RadiologyUniversity of Calgary, Calgary, Alberta, Canada T2N 1N4www.enel.ucalgary.ca/People/Ranga


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Message from Director, NITJ

It is a matter of immense pleasure that Department of Instrumentation & Control Engineeringand Department of Electronics & Communication Engineering are jointly organizing

International Conference on Biomedical Engineering and Assistive Technologies-2010 (BEATS-

2010) during Dec. 17-19, 2010.

Perhaps a greater potential benefit occurring from the use of biomedical engineering is

identification of the problems and needs of our present health care system that can be solved

using existing engineering technology and systems methodology. Consequently, the field ofbiomedical engineering offers hope in the continuing battle to provide high-quality health care at

a reasonable cost. If properly directed toward solving problems related to preventive medical

approaches, ambulatory care services, and the like, biomedical engineers can provide the toolsand techniques to make our health care system more effective and efficient. The theme of the

conference is relevant in the present day context, when Indian healthcare sector is under

immense pressure for providing affordable healthcare. I strongly believe that with a valuable and

meaningful contribution from researchers and academicians from science and technologybackgrounds, the indigenous industry can attain international standards in manufacturing

excellence and become one of the major contributors globally.

I am sure that the three day deliberations during the conference will demonstrate the best ideas inbiomedical engineering and related technologies from world over for the Indian industry and also

identify the key issues to be taken care of in future.

I convey my best wishes for the success of the Conference.

Dr. S.B.S. MishraDirector


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Message from Dean, Research & Consultancy, NITJ

It is a great experience to learn that Department of Instrumentation & Control Engineering

and Department of Electronics & Communication Engineering are organizing International

Conference on Biomedical Engineering and Assistive Technologies-2010 (BEATS-2010) duringDec. 17-19, 2010. The conference will certainly provide a platform for researchers, executives

from industry & academicians to discuss the latest issues concerning the industry and workout

appropriate solutions.

The Department of Instrumentation & Control Engineering and Department of Electronics

& Communication Engineering have highly competent and qualified faculty working for the

development of the institute. I firmly hope and believe that this conference will be one of theimportant milestones in research activities concerning our institute.

I congratulate the organizers of the conference for taking this initiative and wish them agrand success in their endeavour.

Dr Rakesh ChandraDean, Research & Consultancy


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Message from Registrar, NITJ

I am delighted to learn that the Department of Instrumentation & Control Engineering and

Department of Electronics & Communication Engineering are organizing International

Conference on Biomedical Engineering and Assistive Technologies-2010 (BEATS-2010) duringDec. 17-19, 2010.

Today, many of the problems confronting health professionals are of extreme interest to

engineers because they involve the design and practical application of medical devices andsystems; processes that are fundamental to engineering practice. These medically related design

problems can range from very complex large-scale constructs, such as the design and

implementation of automated clinical laboratories, multiphasic screening and hospitalinformation systems, to the creation of relatively small and simple devices, such as recordingelectrodes and biosensors, that may be used to monitor the activity of specific physiologic

processes in either a research or clinical setting. They encompass the many complexities of

remote monitoring and telemetry, including the requirements of emergency vehicles, operatingrooms, and intensive care units.

This conference would serve as a platform for distinguished scholars from all over the world tointeract and share their expertise. I am sure, the deliberations and discussions would be useful for

the advancement of Biomedical Engineering discipline.

I am sure the delegates will benefit from the proceedings and wish the conference all success.

Professor A L SangalRegistrar


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Message from Head, ICE, NITJ

It is a happy occasion for the Department of Instrumentation and Control Engineering to

organize an International Conference on Biomedical Engineering and Assistive Technology

(BEATs-2010) during December 17-19, 2010.

The theme of this conference is highly relevant in the present day scenario. Today, no one can

imagine medical care units without latest assistive devices developed by biomedicalengineers/scientists. This conference will act as a common platform for teachers, researchers,

professionals, managers, policy makers to deliberate upon the recent issues and challenges being

faced by the biomedical industry.

I am sure that the fruits of this conference will immensely benefit the delegates and will provide

necessary help and guidance in the theme areas of the conference.

On behalf of this Department, I would like to extend a warm welcome to the delegates andcomfortable stay.

I thank Professor S.B.S Mishra, Director, Dr. B. R. Ambedkar National Institute of Technology,

Jalandhar for his keen interest and guidance. My thanks are also due to the organizing committeewho shaped the theme of this conference into reality by putting in their relevant effort.

I wish the conference all success.

Dr. A K Jain

Professor & HeadDept of Instn. & Control Engineering


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Message from Head, ECE, NITJ

It is a proud moment to welcome you all to the International Conference on Biomedical

Engineering and Assistive Technologies (BEATs-2010) being held during December 17-19,

2010. The BEATS-2010 aims to bring together academic scientists, leading engineers, industryresearchers and scholar students to exchange and share their experiences and research results

about all aspects of Biomedical Engineering, and discuss the practical challenges encountered

and the solutions adopted. I strongly believe that deliberations would ultimately lead to betterunderstanding of living systems and hence improving quality of life and healthcare delivery.

My best wishes for the grand success of BEATS-2010.

Arun Khosla, PhDAssociate Professor & Head

Dept. of Electronics and Comm. Engineering


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Welcome message by Organizing Secretary BEATs-2010

It gives me immense pleasure, to welcome you all, to International Conference on Biomedical

Engineering and Assistive Technologies-2010 (BEATS-2010) being held during December 17-

19, 2010 which is a joint venture of Department of Instrumentation & Control Engineering and

Department of Electronics & Communication Engineering, Dr. B R Ambedkar National Institute

of Technology, Jalandhar.

Medical diagnosis and treatment has immensely benefited from the technical advances in last

millennium. As a consequence of technological innovations Medical Institutes have emerged as

forms of technological excellence. Just before turning to the present millennium, some

visionaries from communication, information technology and biomedical scientists, enthused

practicing physicians to evolve disciplines like e-medicine and telemedicine to meet healthcare

needs for the masses.

This conference will be one of the most enabling mechanisms to promote biomedical

engineering and assistive technologies, industry R&D and public private partnershipprogrammes including futuristic areas, transformational technology and product development for

healthcare.

Continued Innovation creates affordable healthcare technologies or products which do not exist

in Indian markets. This includes products which either needs modifications through re-

engineering; or product which exists, but affordable and cost effective versions are required;

and/or those products which exist, but their usage is limited due to lack of optimal transport and

storage conditions etc. Availability of affordable healthcare, thereby, is a challenge to the Indian

Health Care Providers. This conference is also directed towards budding biomedical engineers

who have an interest in the invention and early-stage development of new medical technologies.

I firmly hope and believe that deliberation and presentations during these three days ofconference would be fruitful in finding ways and means to tackle these issues. My best wishes to

all the delegates for a fruitful and productive time during the conference.

Dr. Dilbag Singh

Organizing Secretary BEATs-2010


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From the Desk of Organizing Committee

We take immense pleasure in welcoming you all for the International Conference on Biomedical

Engineering and Assistive Technologies-2010 (BEATS-2010) being held during December 17-

19, 2010 at Dr. B R Ambedkar National Institute of Technology, Jalandhar. We appreciate your

participation and kind cooperation. It is indeed our honour to have you all present here for the

conference. We have tried to put in our best efforts in synchronizing the events of the conference

and to make your stay comfortable. Kindly go through the schedule of the conference overall

agenda.

Despite our best efforts, some shortcomings may crop up. Kindly bear up and parden us for the

same but do not hesitate to contact us so as to give us a chance to rectify the same next time

We wish you all the very best and a pleasant stay.

Join t Secretary:

Dr. B.S. SainiAssociate Professor

Dept. of Electronics & Communication Engineering

Dr. B R Ambedkar National Institute of Technology, Jalandhar

Join t Secretary:

Er. Sharvan Kumar PahujaAssociate Professor

Dept. of Instrumentation & Control Engineering


Join t Secretary:

Dr. Ramesh Kumar Sunkaria

Associate Professor

Dept. of Electronics & Communication Engineering


Join t Secretary:

Er. K.S. Nagla

Assistant ProfessorDept. of Instrumentation & Control Engineering

Dr. BR Ambedkar National Institute of Technology, Jalandhar

Er. Butta Singh

Research ScholarDept. of Instrumentation & Control EngineeringDr. BR Ambedkar National Institute of Technology, Jalandhar


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ORGANISING COUNCIL

Chief Conference Patron

Ms. Sushma Berlia

Honble Chairperson,

Board of Governors, NITJ

Patron

Prof. SBS Mishra

Director, NITJ

Convener & HOD/ICE Convener & HOD/ECE

Dr. A.K. Jain Dr. Arun Khosla

Organizing Secretary

Dr. Dilbag Singh, Tel: +91-9888492132

([email protected])

Joint Organizing Secretaries

Dr. Ramesh K. Sunkaria Er. Sharvan Kumar Pahuja Dr. Barjinder Singh Saini

([email protected]) ([email protected]) ([email protected])

Executive Members

Dr. Harsh Verma Er. Mamta Khosla Er. Roop Pahuja Dr. A.Sachdeva

Er. K. S. Nagla Er. Indu Saini Dr. Vinay Midha Dr. Rajiv Jindal

Dr. Dinesh Shukla Er. S. Bajpai Er. JatinderKumar Dr. G. S. Dhaliwal

INTERNATIONAL ADVISORY COUNCIL

1. Dr. Vinod Kumar,IIT Roorkee2. Dr. H.K Verma,IIT Roorkee3. Dr. P.W.Macfarlane,Univ.of Glasgow4. Dr. D.P.Mittal,UMD,New Jersey5. Dr. K.K Deepak,AIIMS,New Delhi6. Dr. Sneh Anand,IIT Delhi7. Dr. N.Khandelwal,PGIMER,Chandigarh8. Dr. G.D. Jindal,BARC,Mumbai9. Dr. Jai Rup Singh,CUP Bhatinda10. Dr. A.G.Ramakrishnan,IISc Banglore

11. Dr. S.C. Saxena,IIT Roorkee12. Dr. M.Ramasubba Reddy,IIT Madras13. Dr. Amod Kumar,CSIO,Chandigarh14. Dr. Olaf Dossel,KIT,Germany15. Dr. Yongmin Kim,UOW,USA16. Dr. V.R.Singh,Chair-IEEE(Delhi)17. Dr. Ajay K.Sharma,NIT Jalandhar18. Dr. Rajinder Kaura,Bergen,New Delhi19. Dr. P.K.Chatley,NIT Jalandhar20. Dr. B.S.Patre,SGGSIET,Nanded

NATIONAL TECHNICAL COMMITTEE

1.

Dr. Narottam Chand,NIT Hamirpur2. Dr. Sukhwinder Singh,PU Chandigarh3. Dr. A.S. Arora,DAVIET,Jalandhar4. Dr. S.T. Hamde,SGGSIET,Nanded5. Dr. L.M Saini,NIT Kurukshetra6. Dr. G.L Pahuja,NIT Kurukshetra7. Dr. A.K .Wadhwani,MITS,Gwalior8. Dr. Nischal Verma,IIT Kanpur

9.

Dr. Munna Khan,MEC,Mewat10. Dr. Viond Giri,MMMEC,Gorakhpur11. Dr. S.S.Mehta,MBMEC,Jodhpur12. Dr. M.D.Desai,KIT,Mehsana13. Dr. A.L.Sangal,NIT Jalandhar14. Dr. A.K .Jana,NIT Jalandhar15. Dr. Mandeep Singh,TU Patiala


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ORGANISING COMMITTEES

Co-ordination

1. Dr. Ajay K. Sharma2. Dr. A. K. Jain

3. Dr. Arun Khosla4. Dr. Dilbag Singh5. Dr. B. S. Saini

6. Er. S. K. Pahuja7. Dr. R. K. Sunkaria

8. Er. Kuldeep Singh9. Er. Butta Singh

Food & Refreshment Stay Arrangements &

Hospitality

1. Er. S. K. Pahuja

2. Dr. G. S. Dhaliwal3. Dr. Anish Sachdeva4. Dr. Dinesh Shukla

5. Er. S. Bajpai6. Er. N. S. Rekhi

7. Er. Akshay Katyal

Transport & Logistics

1. Dr. B. S. Saini

2. Er. S. K. Pahuja3. Dr. Vinay Midha

4. Dr. Rajiv Jindal5. Er. Varun Gupta6. Er. Chandan Singh

Registration & Invitation

1. Dr. B. S. Saini2. Dr. R. K. Sunkaria

3. Er. Indu Saini4. Er. Butta Singh5. Er. Roop Pahuja

6. Er. Neetu Sood

7. Er. Krishan Pal Singh Yadav

8. Er. Vineet Kumar9. Er. Mukesh Mishra

Publication & Printing

1. Dr. R. K. Sunkaria2. Er. Jatinder Kumar

3. Er. Butta Singh4. Dr. Dinesh Shukla

5. Er. Ranjan Pandey6. Er. Hemant Singh Azal7. Er. Nilashma Bharati

Technical Sessions & Venue Arrangement

1. Dr. Arun Khosla

2. Dr. Harsh Verma3. Dr. N. Basak4. Er. Mamta Khosla

5. Mr. Subhash Yadav6. Dr. Dilbag Singh

Prizes & Mementos

1. Er. K. S. Nagla2. Er. S. K. Pahuja

3. Er. Mamta Khosla4. Er. Pankaj Kumar Kesri

Press, Media & Photography

1. Dr. Dinesh Shukla2. Er. A. K. Chaudhary3. Er. Vaibhav Srivastava

Conference Website

1. Er. Sahil Malhan2. Er. Gaurav Kalra


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Programme GuidelinesC O N F E R E N C E S C H E D U L E

International Conference on

Biomedical Engineering and Assistive Technologies (BEATs-2010)

17-19 December, 2010

Day-1: 17th

December, 2010 (Friday)Timings Activity Venue

10:00 to 11:00 hrs. CONFERENCE REGISTRATION GF, IT Building

11:00 to 11:15 hrs. Tea GF, IT Building

11:15 to 13:00 hrs. TUTORIAL-I by Prof V. R. Singh Conference Hall-FF, IT Building

13:00 to 14:00 hrs. ConferenceInauguration Conference Hall-GF, IT Building

14:00 to 15:00 hrs. Lunch Community Centre

15:30 to 17:30 hrs. TUTORIAL-II by Prof Vinod Kumar Conference Hall-FF, IT Building

Day-2: 18th

December, 2010 (Saturday)

09:00 to 10:30 hrs. TECHNICAL SESSION-A Conference Hall-GF, IT Building09:00 to 10:30 hrs. TECHNICAL SESSION-B Conference Hall-FF, IT Building

10:30 to 11:00 hrs. Tea Break GF, IT Building

11:00 to 13:00 hrs. Plenary Talk by Prof RM Rangayyan Conference Hall-FF, IT Building


14:00 to 15:30 hrs. TECHNICAL SESSION-C Conference Hall-GF, IT Building

14:00 to 15:30 hrs. TECHNICAL SESSION-F Conference Hall-GF, IT Building

14:00 to 15:30 hrs. TECHNICAL SESSION-G Conference Hall-FF, IT Building

14:00 to 15:30 hrs. TECHNICAL SESSION-H Conference Hall-SF, IT Building


16:00 to 16:30 hrs. Group Photograph In front of Central Seminar Hall

16:30 to 18:00 hrs. TECHNICAL SESSION-D Conference Hall-GF, IT Building

16:30 to 18:00 hrs. TECHNICAL SESSION-I Conference Hall-GF, IT Building

16:30 to 18:00 hrs. TECHNICAL SESSION-J Conference Hall-FF, IT Building

16:30 to 18:00 hrs. TECHNICAL SESSION-E Conference Hall-SF, IT Building

19:30 hrs. onwards Conference Dinner Hotel MAYA

Day-3: 19th

December, 2010 (Sunday)

09:00 to 10:30 hrs. TECHNICAL SESSION-K Conference Hall-GF, IT Building

09:00 to 10:30 hrs. TECHNICAL SESSION-L Conference Hall-FF, IT Building

09:00 to 10:30 hrs. TECHNICAL SESSION-M Conference Hall-SF, IT Building

09:00 to 10:30 hrs. TECHNICAL SESSION-N Conference Hall-SF, IT Building


10:45 to 12:15 hrs. Plenary Talk by Prof Sneh Anand Conference Hall-FF, IT Building

12:30 to 13:30 hrs. Closing function Conference Hall-GF, IT Building



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International Conference on

Biomedical Engineering and Assistive Technologies (BEATS-2010)

17-19 December, 2010

Tutorial-ITitle:Ubiquitous Healthcare Technology

Dr.V. R. Singh, Chair-IEEE (Delhi)Former Sci. G (Director-grade-Scientist) and

Head, Instrumentation,Sensors and Biomedical Measurements & Standards

National Physical Laboratory,New Delhi-110012, India

Tutorial-II

Title:ECG Signal Processing and Analysis

Dr. Vinod KumarProfessor & Head

Department of Electrical Engineering

Indian Institute of Technology RoorkeeRoorkee-247667

Plenary Talk-ITitle:Computer-aided detection of subtle signs of early breast cancer: Detection of architectural

distortion in mammograms

Rangaraj M. Rangayyan, PhD, PEng,

Professor, Department of Electrical and Computer Engineering

Schulich School of Engineering

(Adjunct Professor of Surgery and Radiology)University of Calgary, Calgary, Alberta, Canada

Plenary Talk-IITitle:Biomedical Engineering and Assistive Technologies-An Overview

Dr. Sneh AnandProfessor, Centre for Biomedical Engineering

Indian Institute of Technology, New Delhi-110016

&Biomedical Engineering Unit

All India Institute of Medical Sciences (AIIMS), New Delhi -110029


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DETAILED SCHEDULE: BEATs-2010Technical Session-A Time: 09:00 to 10:30 hrs. Date: 18

thDecember, 2010

Venue: Conference Hall-GF, IT Building

Track: BIOMEDICAL SIGNAL PROCESSING-I

S. No. Paper ID Title and Authors

1. 124 Identification of fusion beats from ECG using artificial neural networksShahanaz Ayub and J. P. Saini

2. 139 Identification and classification of kidney stones using waveletsRaksha Patel

3. 167 Automated detection of ST-segment deviation for ischemia diagnosisMandeep Singh and Gitika Gupta

4. 203 ECG signal compression using different wavelet filtersK. Ranjeet, A. Kumar and Rajesh K. Pandey

5. 213 A new approach to ECG peak detectionAwadhesh Pachauri and Manabendra Bhuyan

6. 215 Classification of heart beats using LVQ neural networks after detection fromcontinuous ECG signal, followed by feature extraction using PCA: A case studyAmitabh Sharma and Tanushree Sharma

7. 218 Application of the wavelet analysis in detection of fault diagnosis of heartD.T. Ingole, Kishore Kulat and M.D. Ingole

8. 221 An introduction to independent component analysis and its applications inbiomedical signal processingVarun Gupta, Gavendra Singh and Dilbag Singh

9. 222 Coherence analysis between ECG and EEG signalGavendra Singh and Dilbag Singh

10. 225 A review on biomedical systems and biomedical signal processing techniquesSachin Sharma and Irshad Ahmad Ansari

11. 237Analysis of respiratory signal & electrocardiogram signal using principal

component analysis

Varun Gupta, Gavendra Singh, Priyanka Singh, Anil K. Sekharmantri and

Chaman Lal

12. 238Power line interference (50Hz) noise removal from ECG signal using adaptive

filter LMS algorithms

Gavendra Singh, Varun Gupta, Chaman Lal, Priyanka Singh and Navleen

Singh Rekhi

13. 255 QRS detection in single lead ECG using PNNM. K. Bhaskar, S. S. Mehta, Swati Sharma and N. S. Lingayat

14. 361 An adaptive method for elimination of power line interference in ECG signalsusing EMDSaurabh Pal and Madhuchhanda Mitra

15. 363 Intelligent tutoring system for telugu language learningM. Nagamani and B.S.R. Krishna

16. 364 Speech recognition for kokborok languageAbhijit Debbarma, M. Nagamani and B. S. R. Krishna


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Technical Session-B Time: 09:00 to 10:30 hrs. Date: 18thDecember, 2010

Venue: Conference Hall-FF, IT Building

Track: BIOMEDICAL SIGNAL PROCESSING-II


17. 266 Haar wavelet based approach for state analysis of biomedical systemsAkanksha Gupta, Monika Mittal and Lillee Dewan18. 267 Heart rate measurement and analysis using fuzzy logic

N. Thanigasalam, Kailash K. and C. Vaithilingam

19. 268 Feature extraction and analysis of multi-lead electrocardiogramsChannappa Bhyri, S.T. Hamde and L.M. Waghmare

20. 272 Heart rate variability signal processing andinterpretationA reviewAmritpal Singh, B.S. Saini and Dilbag Singh

21. 273 Relation between heart rate variability and respiratory frequency: A reviewAnurupa Lubana and Mandeep Singh

22. 283 ECG data compression: A reviewVineet Kumar, B.S. Saini and Ramesh Kumar Sunkaria

23. 101 Design and modeling of an inverted pendulum using MATLABReena Kamboj, Rupanshi Batra and Amit Kamboj

24. 337 ECG feature extraction- A technical reviewParul Saini, Amit Kaul and Ravinder Nath

25. 351 Filter optimization techniques for EMG signal processing using MATLABChanderpal Sharma, Dinesh Bhatia and Manoj Duhan

26. 366 Performance evaluation of spreading time optical CDMA encoder/ decoder atwavelength 1310nmNitika Soni and Manjit Singh

27. 367 Control algorithm for shunt active power filter using synchronous referenceframe theoryHarmeet Singh, Harsimran Singh and Bharat Naresh Bansal

28. 368 GSM based remote patient monitoring systemGautam Talukdar, M.A. Ansari, Alok Sarkar, Kumar Samvat and ManojKumar

29. 371 Fractional Fourier Transform: A tool for signal analysis in time frequency planeYogesh S. Angal, R.S. Holambe and R.H. Chile

30. 378 Performance analysis of image restoration techniques using Fourier & wavelettransformGaurav Sethi and B.S. Saini


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Technical Session-C Time: 14:00 to 15:30 hrs. Date: 18thDecember, 2010


Track: MEDICAL IMAGING AND IMAGE PROCESSING


31. 112 Speech and image compression techniquesNavdeep Choudhary and Arvind Rehalia

32. 131 A simplified method to detect hard exudates in digital retinal fundus imageDiptoneel Kayal and Sreeparna Banerjee

33. 132 CNN algorithms for detection of cysts in X-ray images of osteoarthritisSomnath Bhattacharyya and Sreeparna Banerjee

34. 140 Generic algorithm for face recognition using MatlabVaibhav Joshi

35. 141 A novel method of shadow removalGursimranjit Singh, Mandeep Singh Sra and Rajbir Singh Sidhu

36. 165 Automatic image contrast enhancement using PSORajeshwar Dass, Swapna Devi and Vinay Kumar Singhal

37. 173 Automatic segmentation of medical ultrasound images based on morphologicalapproachMandeep Singh and Saurabh Pandey

38. 177 Gradient based techniques for the avoidance of over segmentationHempriya and Naresh Kumar

39. 195 Compression of 2-D images using in-place modified fast Haar wavelet transformKiran Arora and Amanpreet Singh Brar

40. 229 An approach towards characterization of ultrasound renal stone images usingwavelet transformsSaurin Shah, Manhar D. Desai and Lalit Panchal

41. 233 Analysis of brain MRI images by signal processing for quantitative grading ofbrain tissue pathologiesS. S. Shanbhag, G. R. Udupi, K. M. Patil and K. Ranganath

42. 286 A novel algorithim for liver classification using texture analysisMandeep Singh, Sukhwinder Singh and Savita Gupta

43. 323 B-spline nonrigid grid registration of medical images using free-formdeformationsKuldeep Yadav, Ankush Mittal, M.A. Ansari and Prashant Yadav

44. 335 Quantitative evaluation of image enhancement techniquesJitendra Virmani and Vinod Kumar

45. 346 Identification of printed English numerals and Punjabi words usingmorphological features and SVM classifierRajneesh Rani, Renu Dhir and G. S. Lehal


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Technical Session-D Time: 16:30 to 18:00 hrs. Date: 18thDecember, 2010


Track: MEDICAL DEVICES, MEASUREMENT AND INSTRUMENTATION


46. 108 Plantar pressure measurement for clinical diagnosisPradnya N. Gokhale47. 121 Instrumented gait analysis for development of electronic kneeNeelesh Kumar, Davinder Pal Singh, Dinesh Pankaj, Sanjeev Soni, Amod

Kumar and B.S. Sohi

48. 137 Analytical comparison of different 1-bit full adder's scheme for 250nmCMOS technologyPankaj Negi and Prashant Kumar

49. 138 Investigation and enhancement of roam welcome application using SS7signalingTaranjeet Kaur and Malika Arora

50. 153 Automated wheelchairK.L. Shyam Kumar and C.P. Srujana

51. 170 Heart rate measurement through photoplethysmographyR.B. Singh, P.K. Nakade and P.R. Bhosale

52. 206 ECG acquisition and wireless transmission (frequency modulation) withanalysisAppaji M. Abhishek

53. 208 Implementation of 24-bit delta-sigma analog-to-digital converterNaregalkar Akshay, M. Praveen Kumar and Sujata Dhanorkar

54. 217 Design and analysis of LC-VCO for ultra wide-band operationDhrub Solanki and Rajeevan Chandel

55. 242 Low cost multiparametered patient monitoring systemDebasish Biswas, Deepti Kumari, Lucky Tyagi, Shine Augustine, TarunKumar and Shivangi Tyagi

56. 244Calibration techniques for indigenously developed load cell based VGRF

measurement system in comparison to standard reference tool

Venkateswarlu Gaddam, Itee Aggarwal, Gautam Sharma, Neelesh

Kumar, Amod Kumar and S.K. Mahna

57. 282 High speed and low offset comparator for A/D converterChandan Singh and Ashish Raman

58. 289 Pulse based diagnosis system using the concept of ayurvedaRanjan Walia and Mandeep Singh

59. 301 Role of transducers and signal processing in echocardiography and effect ofinstrument artifactsKalpana Saini, M.L. Dewal and Manoj Kumar Rohit

60. 320 An introduction to artificial intelligence and its applications in biomedicalengineering & medicineAkash Gupta, Gavendra Singh and Varun Gupta


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Technical Session-E Time: 16:30 to 18:00 hrs. Date: 18thDecember, 2010

Venue: Conference Hall-SF, IT Building

Track: HEALTH CARE TECHNOLOGY-I


61. 126 Computer aided software engineering (CASE Tools)Gurpreet Singh, Manjit Thapa, Sarbjeet Singh, Sukhveer Singh and PankajSharma

62. 164 Healthcare infrastructure- biometricsVrajesh Sharma, Nipun, Devina Chhabra, Vikrant Sharma and MonicaSharma

63. 175 Controlling of process parameters by SCADAGajendra Kulshrestha, Annu Prakash and Rajesh Singla

64. 183 Content management and HL7 messagesK.S. Mann, Preeti Saini and Pooja Saini

65. 188 Biomedical textiles engineered with electronic configurationBipin J. Agarwal and Sandeep Agarwal

66. 212 Analysis of two ray path loss model for UWB communicationVinay Kumar, Ashok Kumar and Surender Soni

67. 224 Emerging trends over security among bluetooth devicesVivek Singh, Varun Gupta and Gavendra Singh

68. 263 Combination of wavelet analysis and non-linear enhancement function forcomputer aided detection of microcalcificationsVikrant Bhateja and Swapna Devi

69. 270 Security threats to SCADA systemsRajeev Kumar

70. 288 A performance comparison of FMIPv6 and HMIPv6, optimization techniques ofMIPv6Ritu Sehgal and Sandeep Makhija

71. 303 Healthcare, eHealth and IndiaManpreet Kaur and Birmohan Singh

72. 307 Various methods to detect respiration rate from ECG using LabVIEWPoorti M. Vyas and M. S. Panse

73. 308 Overview of T wave alternansAruna Deogire and Satish Hamde

74. 341 A body movement sensing system for ambulatory health monitoringDipak Patel and Tanmay Pawar

75. 357 An efficient indexing technique used in telemedicine data warehouseSankalap Arora, Priyanka Anand and Kirandeep Singh


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Technical Session-F Time: 14:00 to 15:30 hrs. Date: 18thDecember, 2010


Track: HEALTH CARE TECHNOLOGY-II


76. 120An improved implementation of brain tumor and cyst detection using edgedetection colour segmentation and pixel by pixel analysis technique on CTscan image

Lokendra Yadav and Om Parkash Singh

77. 152 FEM (finite element modeling) based comparative study of thermal ablation& hyperthermia for treatment of liver cancerAmninder Kaur and Neeru Malhotra

78. 220 ECG data compression using enhanced modified AZTEC techniqueEkta Tripathi and A.K. Wadhwani

79. 234 A novel best fitting algorithm for breast tumor classificationM.S. Abdaheer and E. Khan

80.

247

Time-plane feature extraction from digitized ECG using D-ECG approach

R. Gupta, M. Mitra and J.N. Bera

81. 253 Non invasive early diagnosis of breast cancer using high definition thermalimaging and image processingPragati Kapoor, SVAV Prasad and Seema Patni

82. 258 Proposed analysis technique for EMG signal using microcontrollerMohan C. and Ranjeetharoy

83. 265 SVM based methods optimized by feature selection for arrhythmiaclassification in ECGNarendra Kohli and Nishchal K. Verma

84. 271 Analysis of Scaling behaviour of heart rate variability based on global andlocal exponents derived from DFA and Wavelet TransformAmritpal Singh, B.S. Saini and Dilbag Singh

85. 280 A comparative study on R-peak detection with various wavelet functionsOmkar Singh and Ramesh Kumar Sunkaria

86. 324 Handwritten Devnagari character recognition using curvelet transform andSVM recognizerBrijmohan Singh, M.A. Ansari, A. Mittal and D. Ghosh

87. 329 Support vector machine for classification of heart rate and blood pressuresignals based on postural changesIndu Saini, Arun Khosla and Dilbag Singh

88. 350 EEG signal processing and feature extraction for training neural network tostudy mental stateDeepika Verma, Dinesh Bhatia and Manoj Duhan

89. 360ECG data acquisition and analysis through software

Gagandeep Kaur and Vikesh Raj

90. 365 An overview of autonomic nervous system for engineersGurnam Singh and G.S. Dhaliwal

91. 379 Biomedical signal processing using transformation techniques- A reviewGaurav Sethi and B.S. Saini


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Technical Session-G Time: 14:00 to 15:30 hrs. Date: 18thDecember, 2010


Track: SYSTEM MODELLING, SIMULATION AND CONTROL


92. 136 Performance analysis of delay in MANETGurinder Singh Dhaliwal, Gursimranjit Singh and Mandeep Singh Sra

93. 145 Neural NARX controller design for magnetic bearing systemP. S. Bhati and Rajeev Gupta

94. 189 A virtual instrument for bio-signal acquisition and processing usingLabVIEWDipali Bansal, Munna Khan and A. K. Salhan

95. 211 K-nearest neighbor classification of left-right limb movement using EEG dataAnwesha Khasnobish, Saugat Bhattacharyya, Amit Konar and D.N.Tibarewala

96. 251 Fuzzy neural Petri Net based method for knowledge representation ofmicroarray gene expression levelRaed I. Hamed

97. 262 A handover scheme based on fuzzy logic approachKanav Sharma and Sachin Anand

98. 274 Design and development of a dual fuel diesel-LPG controllerR. S. Bharj, Arjun Chopra and Pali Rosha

99. 294 Bio-signal clustering using fuzzy logicSandra DSouza

100. 295 Simulation of MMSE & adaptive MMSE equalizer for human bodycommunication channelAmitabh Sharma, Pankaj Shukla and Rashmi Baweja

101. 296 Error rate analysis of multichannel wireless receiver with equal gaincombining in generalized fading channelsJyoteesh Malhotra

102. 297 Simulative investigations on high data rate ultra-wide band channel forwireless personal area networksJyoteesh Malhotra

103. 300 Power calculations in advanced modulation formatsManjit Singh, B.C. Choudhary, Bhupinder Singh and Vikrant Sharma

104.319

Implementation of Kalman filter for radar tracking using MATLAB

Arghya Das


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Technical Session-H Time: 14:00 to 15:30 hrs. Date: 18thDecember, 2010


Track: BIOENGINEERING-I


105. 128 Computational investigation of effects of AMPA receptor desensitizationon synaptic integration in striatal medium spiny neuronsMrunal Rane and R. Manchanda

106. 166 Fast and efficient method for detection of tuberculosis using fibre opticsensors and fourier transform IR spectraKarthik

107. 192 Frequency response analysis of optimized ARX model of physiologicalsystem (a case study of dynamic cerebral autoregulation mechanism)Shiru Sharma and Neeraj Sharma

108. 202 A review on thermal sprayed hydroxyapatite coated bio-implantsGurpreet Singh, Hazoor S. Sidhu and Buta S. Sidhu

109. 204 Development and characterisation of Chitosan-Hap compositeS. Chatterjee, A. Chanda and K. Pal

110. 210 Numerical simulation of freezing front propagation in a gelatin solution:Application to cryosurgeryVarsha Rani Chikanjuri, Dibya Devismita and Amitesh Kumar

111. 239 A time-power efficient decimator using vedic algorithmVignesh V. and Ashish Raman

112. 252 Development and charecterisation of doped hydroxyapatite using simplechemical routePromita Bhattacharjee, Howa Begam and Abhijit Chanda

113. 257 Time domain feature extraction and classification of MUAPS forneuromuscular disease diagnosisNavneet Kaur and Tripatjot Singh

114. 261 A procedure for the 3D reconstruction of biological organs from 2D imagesequencesKirana Kumara P.andAshitava Ghosal

115. 269 Molecular docking study of anticancer drugs with HDACNitai Basak and Akshay Mahajan

116. 298 Deterministic sequential test pattern generation using cellular automataGaurav Bansod, T.Anil Chowdary, B. Mani Mohan Reddy andMohammad Abdul Muqueem

117. 312 Wireless control of infusion pump for multi drug deliveryK.E.Ch. Vidyasagar, T Phani, S. Sudesh and Jyoti Gupta

118. 316 Depth-dose distributions for various ions and energies in CR39 mediumSummit Jalota and Ashavani Kumar

119. 349 Development and biorelevant study of salt leached polyvinyl alcohol (PVA)scaffoldsSadanand Jinna, Mahesh Kumar Sah and Amitesh Kumar


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Technical Session-I Time: 16:30 to 18:00 hrs. Date: 18thDecember, 2010


Track: BIOENGINEERING-II


120. 144 Bioinformatics and computational biologycomputational aspects ofsystem biologySarbjeet Singh, Manjit Thapa, Gurpreet Singh and Sukhvinder Singh

121. 146 Techniques for power reduction in CMOS designMeenakshi Agarwal, Radha Agarwal and Shalini Tripathi

122. 147 Microkernel architecture based embedded real time operating systemShalini Tripathi , Meenakshi Agarwal and Radha Agarwal

123. 148 Microbial biosynthesis of biopolymers and applications in thebiopharmaceutical, biomedical and food industriesMadan Lal Verma

124.

149

Bacterial biosensors for measuring availability of environmental pollutants

Madan Lal Verma, Shamsher Singh Kanwar, Asim Kumar Jana

125. 150 An embedded RFID and electronic compass based indoor guiding system forthe blindK. Padma Vasavi and P. Rajesh Kumar

126. 151 Food allergen motif finder tool kitJitendra Kumar

127. 156 Biometrics: A further echelon of securityMandeep Kaur Sandhu

128. 158 Low power low area audio sub word sorter unit for wireless transmissionGaurav Bansod, T. Anil Chowdary and M. Mani Mohan Reddy

129. 160 Deblocking and denoising filter to remove blocking artifacts from a noisyimageMeera Thapar Khanna and Jagroop Singh Sidhu

130. 161 Detection & removal of corner outlier at high quality factorsAnudeep Gandam and Jagroop Singh Sidhu

131. 162 Biosensors type and applicationsYachna Jain, Chandni Rana, Arshi Goyal, Namita Sharma and MadanLal Verma, Asim

132. 163 Photonics sensing techniques based on various mach zehnder interferometerwaveguide (MZIW) structuresP. B. Patel and S. T. Hamde

133. 191 NanobioelectronicsThe futuristic technologyDeep Kamal Kaur Randhawa, Inderpreet Kaur, M.L. Singh and LalitM. Bharadwaj

134. 200 Pulse wave detection and analysisHarsha Godhia, Yasmin Hazrat, Shashank Kabra and Mita Bhowmick

135. 248 Opportunities and challenges in automatic speech recognitionRashmi Makhijani

136. 311 Morphological-operations based digital mammogram enhancementSukhwinder Singh


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Technical Session-J Time: 16:30 to 18:00 hrs. Date: 18thDecember, 2010


Track: BIOENGINEERING-III


137. 276 Preparation and characterization of succinated starch/PVA blend filmsVinod Kumar, Sangeeta Garg and Asim Kumar Jana

138. 279 Study of lowpower technique based on QRS detector for implantablepacemaker ICMandeep KaurandVikas Sharma

139. 281 Current status of biotechnological production of the cholesterol loweringdrug lovastatin and its biomedical applicationsMadan Lal Verma, Asim Kumar Jana and Shamsher Singh Kanwar

140. 284 Ectopic beats and detrended fluctuation analysis of HRVButta Singh and Dilbag Singh

141. 309Heuristic redundancy optimization of networks with delay

G. L. Pahuja and Neetika Chauhan

142. 315 Enzyme nanoparticles (ENPs) based biosensorsSandeep Kumar and Asim K. Jana

143. 317 Better quantification of vitiligo by ICA on illumination corrected imagesVijitha P. and A. G. Ramakrishnan

144. 321 Design and development of an instrument for measurement of biting forcein human beingsAnand Vaz, Mayank Shekhar Jha and Ambhuj Saxena

145. 322 Galerkin least-square linear B-spline finite element method for BurgerequationSharanjeet Dhawan and Sheo Kumar

146. 326Development of J2ME framework for remote patient monitoring

Saurabh Puri, Bikramjit Singh, Amandeep Singh, Kaushic Khanna

and Arun Khosla

147. 327 Hardware architecture for an interval type-2 fuzzy processorMamta Khosla, R. K. Sarin and Moinuddin

148. 328 Characterization of CMOS differential amplifier with active load andsingle-ended outputAmit Kumar Singh, Vivek Kumar and Mamta Khosla

149. 333 DICOM specification in file formatSandhya Waghmare, Vijya Thool and Pramod Sing

150. 336 Dye decolorization by immobilized fungal materialChhavi Rani , Asim K. Jana and Ajay Bansal

151. 342 Increased autonomic controls in workers engaged in forging industryL.P. Singh, A. Bhardwaj, K.K. Deepak and Sarbjit Singh152. 383 Measurement of thoracic impedance & approximations: A diagnosistechnique for clinical pulmonology

Shabana Urooj, Munna Khan and Abdul Qayyum Ansari


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Technical Session-K Time: 09:00 to 10:30 hrs. Date: 19thDecember, 2010


Track: ASSISTIVE TECHNOLOGIES


153. 171 A study on various voltage controlled ring oscillators in 0.35m and 0.5mtechnologiesNeelima

154. 186 Design issues and considerations in mobile cloud computingMeenakshi Sharma, Pankaj Sharma and Anjali

155. 187 Aspects of grid schedulingAnjali Kalra

156. 193Usage & performance of object databases compared with ORM tools in Javaenvironment

Vikrant Sharma, Vrajesh Sharma, Nipun Sharma, Devina Chhabra and

Monica Sharma

157. 198 Mind mouseV. Durga Spurthi, B. Lokapati Patnaik, Ramya Bobba and NiketanKapila

158. 236 Elliptic curve cryptography in pervasive computingSyona Gupta, Geeta Sikka and Vivek Katiyar

159. 314 Evaluation of tunnel ventilation system at Delhi underground metro stationVaibhav Joshi

160. 354 Log visualization to categorize the malicious activities detected by honeypotSheenam Goyal, Kirandeep Singh and Renu Dhir

161. 355 Tracking of compromised hosts using log visualization systemSheenam Goyal and Renu Dhir

162. 356MaCO: A tool for aiding management of cost overrun of a software

development projectKawal Jeet and Renu Dhir

163. 359 Adaptive PSO algorithm with non-linearly decreasing inertia weightSachin Gupta, Swapna Devi and Malay Dutta

164. 374 Computer-aided proportioning of concrete mixesAtul Gupta, Nancy Mittal and Babita Saini

165. 375 Achievement motivation and attitude towards sports differentia in high andlow performance track athletesG. S. Dhaliwal

166. 377 ICT Applications for differently abled peopleChandra K. Sekharaiah, Ramesh Babu J. and Rakesh


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Technical Session-L Time: 09:00 to 10:30 hrs. Date: 19thDecember, 2010


Track: WIRELESS SENSOR NETWORKS


167. 106 Fixing constituents of sweat for detecting latent fingerprints at difficultcrime scenesG.S. Sodhi and Jasjeet Kaur

168. 111 Wireless sensor networkNavdeep Choudhary and Arvind Rehalia

169. 134 Performance analysis of VoIP over WLAN(802.11b) using different voiceframes per packetGurinder Singh Dhaliwal, Gursimranjit Singh and Mandeep Singh Sra

170. 135 Performance analysis of VoIP over WLAN(802.11b) using differentencoding schemesGurinder Singh Dhaliwal, Gursimranjit Singh and Mandeep Singh Sra

171. 172 Vehicle positioning system using GPS, GSM & GISSumit Kumar, Gautam Srivastava, Amber KhanandMd Shameem

172. 197 Crisis with wireless sensor networksVikrant Sharma, Vishal Agnihotri and Monica Sharma

173. 302 Optimum deployment and performance evaluation of wireless sensingnodesG.L.Pahuja, RamaKoteswara Rao A. and Geeta Yadav

174. 334 An improved hybrid ants algorithm for frequency assignment problem incellular systemsAvtar Singh Buttar, Ashok Kumar Goel and Shakti Kumar

175. 348 Physiological signals acquisition and wireless transmission: Enablingintelligent wireless sensorsSmriti Aggarwal and Ojuswini Arora

176. 352 A non-invasive detection of somnolence based on the physiologicalparameterJ. Sivaraman and G. Uma

177. 353 Optimum deployment of WSNG.L. Pahuja and RamaKoteswara Rao A.

178. 358 Three dimensional analytical modeling of SOI MOSFETs consideringsmall geometry effectsSunita yadav, Sandeep Arya and Ram Gopal

179. 380 LQR controller for two link rigid manipulatorNarinder Singh, Rajeev Sharma and Navleen Singh Rekhi

180. 381 X-Ray crystallography: Applications in the biotechnology researchNamita Sharma, Chandni Rana, Madan Lal Verma and Asim KumarJana

181. 382 Fundamentals and applications of Maldi-Tof MSArshi Goyal, Yachna Jain, Madan Lal Verma and Asim Kumar Jana


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Technical Session-M Time: 09:00 to 10:30 hrs. Date: 19thDecember, 2010


Track: BIO-DEVICES AND RECENT ISSUES-I


182. 104Mammogram classification using Q-learning based thresholding

R. Malmathanraj, N. R. Ashwin, N. Srivas and R. Gowtham Rengarajan

183. 130 Image denoising using neighboring wavelet coefficients with adaptivethresholding techniqueRakesh Kumar, B.S. Saini, Arun Khosla and Indu Saini

184. 142 Maximizing network lifetime (MNL) for clustered wireless sensor networksDilip Kumar

185. 168Linearization of zinc oxide thin film based nano biosensor for glucose

detection

K. Vishwanathan, D.V. Rai, Bhaskar Mohan Murari, T. Prasada Rao,

M.C. Santhosh Kumar and B. Karthikeyan

186. 178Brain electrical impedance analysis over MRI and CT scan: A comparative

study.

Shabana Urooj, Akanksha Sachan, Vidhi Gautam, Md. Aamir Rahmani

and Shoeb Ali Khan

187. 201 Iridologythe diagnostic techniqueMurali Gopinadh.T

188. 205 Wearable wireless bio-signal monitoring deviceAppaji M. Abhishek

189. 287 Important elements of smart distribution systemDamanjeet Kaur

190. 304 Unsupervised analysis of arrhythmia using ascending hierarchical clusteringManpreet Kaur, Birmohan Singh and A.S. Arora

191. 313 Fingerprint Image EnhancementDilip Kumar and Deepak Kumar

192. 318 Biochemical metabolisms for phosphate uptake and energy storagesformations under single-stage oxic conditionRahul, R.P. Ram and C.B. Majumder

193. 343 Heart sound delineation and analysis using Shannon energy envelopeMadhwendra Nath, Dilbag Singh and Rakesh Verma

194. 344 Dengue (Tutorial)Tarun Sehgal

195. 345 ThrombocytopeniaTarun Sehgal

196. 376Design and development of functional electrical stimulator to minimise

muscle fatigue problem

Indu Kushwaha, R.P. Tewari, Anirudha Narain and Prasanna KumarAcharya

197. 385 Biomedical signal processing: An emergent trend in rehabilitationengineeringDivyam Kumar

198. 386 Methane hydrates as a future energy prospective and possible threats toglobal climate: A reviewVijay Sodhi and Rajesh Kumar Sharma


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Technical Session-N Time: 09:00 to 10:30 hrs. Date: 19thDecember, 2010


Track: BIO-DEVICES AND RECENT ISSUES-II


199. 113 Fabrication and characterization of porous hydroxyapatite, a biomaterial fromdead snail shellsM. Dasgupta Adak, A. K. Chattopadhayay and K. M. Purohit

200. 347 Control of traction force in cervical traction systemJaspal Singh and J S Bhatia

201. 181 Efficient data transmission (EDT) protocol for clustered heterogeneous sensornetworksDilip Kumar

202. 143 Microcontroller based audio thermometer for visually impaired personDilip Kumar

203. 194 Medical Nanorobots for Angioplasty SurgeryA.Mani Maran , B.Murugan

204. 373 ATLAS simulation of InAsSb/InAsSbP DH-Laser for gas instrumentation andfree space optical communication in mid-infrared spectral regionSanjeev and P. Chakrabarti

205. 182 Cooperative data caching with prefetching in mobile Ad-Hoc networksNaveen Chauhan, L.K. Awasthi and Narottam Chand


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AbstractsTechnical Session-A

Track: BIOMEDICAL SIGNAL PROCESSINGI

PaperID_124 Identification of fusion beats from ECG using artificial neural networks

Shahanaz Ayub and J. P. SainiAbstract ECG i.e. Electrocardiogram represents electrical activity of the heart. When the ECG is abnormal, it is calledarrhythmia. Millions of ECGs are taken for the diagnosis of various classes of patients, where ECG can provide a lot of

information regarding the abnormality in the concerned patient are analysed by the physicians and interpreted depending upontheir experience. The interpretation may vary by physician to physician. Hence this work is all about the automation andconsistency in the analysis of the ECG signals so that they must be diagnosed and interpreted accurately irrespective of the

physicians. This would help to start an early treatment for the problems and many lives could be saved. Many works have been

done previously but this paper presents a new concept by application of MATLAB based tools in the same weighted neuralnetwork algorithms. This will help to reduce the hardware requirements, make network more reliable and thus a hope to make itfeasible.To do so various networks were designed using the MATLAB based tools and parameters. Two classes of networks weredesigned, but with different training algorithms, namely Perceptron and Backpropagation. They were provided training inputs

from the data obtained from the standard MIT-BIH Arrhythmia database. After training different forms of networks, they weretested by providing unknown inputs as patient data and the results in the whole process from training to testing were recorded inthe form of tables. There are many types of abnormalities in ECGs like Ventricular Premature Beats, asystole, Couplet,Bigeminy, Fusion beats etc. In this paper only fusion beats have been discussed and so results associated with it only has been

given, though the same principle was used to make networks for analyzing normal as well as ventricular premature beats too. Theresults for the fusion beats were best in the case of Feed Forward network algorithm. The percentage of correct classification is96%. The results are compared with the previous work which concludes that the Feed Forward network with backpropagationTrainbfg algorithm is best for fusion beats classification.

PaperID_139 Identification and classification of kidney stones using wavelets

Raksha Pat and Saurin ShahDharmsinh Desai University, Nadiad

Abstract-Medical images are now almost always gathered and stored in digital format for easy archiving, storage andtransmission, and to allow digital processing to improve diagnostic interpretation. This paper presents a method for kidney stonecharacterization using wavelet transform. Generally in image processing wavelet is used to image denoising and compress the

image. In this paper we will apply different wavelets to different renal stone ultra scan images. Nine different types of renalcalculi have been identified based on their chemical composition. When ultrasound beams interact with stones, we will havestone images. Ultrasound scanner is used to acquire renal stone image using balloon filled with water and renal stones of different

chemical compositions, suspended in it. These acquired images are then analyzed using MATLAB for identifying various contentand different features exist in wavelet sequences of the echo signals. Thus by this different extracted features we can develop acomputerized diagnosis system.

PaperID_167 Automated Detection of ST Segment Deviation for Ischemia Diagnosis

Mandeep Singh1and Gitika Gupta21Department of Electrical & Instrumentation Engineering, Thapar University, Patiala 147004

2IBM India Pvt. Ltd, Global Business Services, PuneAbstract- In this research work we present an algorithm for the automated detection of ST deviation that can be useful indiagnosing Coronary Heart Disease (CHD) using electrocardiogram (ECG) recordings. The technique is developed using LongTerm ST database (LTST DB). Preprocessing is carried out prior to the extraction of ST segment which includes noise filtering

using seven-point parabolic filter and then application of Wavelet Transform for QRS detection. The algorithm determines the R-peak detection in large number of samples, and then estimates the ST segments relative level with respect to iso-electric levelusing overlapping band selection method. It then compares the two levels, which is later used for ischemia detection. The

performance of the proposed solution was evaluated on 14 records from LTST database. We found that there is reasonable

amount of accuracy (98.5%) and it can therefore be concluded that the algorithm which have proposed can be used for most ofthe practical purposes.

PaperID_203 ECG signal compression using different wavelet function

K. Ranjeet1, A. Kumar1and Rajesh K. Pandey11Indian Institute of Information Technology Design and Manufacturing,Jabalpur-482005, MP (India)

Email: [email protected]; [email protected] and [email protected] this paper, a wavelet based electrocardiogram (ECG) data compression technique is presented. This method employsdifferent wavelet functions with variable length Huffman coding. A comparative study of performance of different wavelet and

both types of thresholding (level and global) is made in terms of Signal-to-noise ratio (SNR), Peak signal-to-noise ratio (PSNR)


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and Normalized root-mean square error (NRMSE). The simulation results illustrates that good compression ratio can be found,while maintaining all clinical information.

PaperID_213 Approach to ECG Peak Detection

Awadhesh Pachauri1and Manabendra Bhuyan2

1, 2Department of Electronics & Communication Engineering Tezpur (Central) University, (India)[email protected]; [email protected]

Abstract -This paper describes an algorithm for the automatic detection of R-waves in the electrocardiograph (ECG). Theproposed algorithm deals with the development of energy based technique for the detection of R-wave in ECG that is of great

importance in evaluating heart rate computation and serves as the basis for the extraction of other ECG features. The algorithm is

based on the mainly window based energy analysis of the ECG signal. This energy domain offers an easy interpretation of ECG

signal for the detection of R-waves in it. The areas under the ECG waveform where R waves are prominent appear as higher

energy zones. Thereafter, thresholding and refractory period concepts are used to eliminate unrelated peaks appearing as R-

waves. The proposed algorithm is equally applicable to ECG signals from modified lead-II as well as other leads. The algorithm

is easier to implement just after removal of the low frequency samples in ECG signal. ECG signals are collected from MIT-BIH

database and the algorithm is developed on the first five minute segment of each record.

PaperID_215 Classification of Heart Beats Using LVQ Neural Networks after Detection from Continuous ECG Signal,

Followed by Feature Extraction Using PCA: A Case StudyAmitabh Sharma, Tanushree Sharma

University College of Engineering, Rajasthan Technical University, Kota, Raj., IndiaAbstract-The ECG (electrocardiogram) signal provides a lot of valuable information about the condition of the heart. Many

cardiac problems are visible as distortions in the ECG. The analysis of heart beat cycles in an ECG signal is vital for long-termmonitoring of heart patients. However, in long-term monitoring, it is a very tedious and time-consuming task to analyze the ECG

recording beat by beat. This is because the abnormal heart beats can occur randomly and a long-term ECG record, say 24 hours,

may contain hundreds of thousands of heart beats. Hence, it is highly desirable to automate the entire process of heart beat

classification by developing a computer-assisted technique to annotate the heart beats in order to facilitate review by a medical

expert. Since several arrhythmia are potentially dangerous and life threatening, if not detected within a few seconds to a few

minutes of their onset, their fast and accurate detection on a real-time basis is required. The present work proposes a technique

for classification of a heart beat into one of the three categories: Normal, PVC (Premature Ventricular Contraction) and Fusion

First, the individual beats belonging to each category are extracted from the MIT-BIH arrhythmia database and after

preprocessing, features are extracted from the beats using Principal Component Analysis (PCA) .This is done in order to reduce

the dimensionality of the vectors to be input to the neural network classifier so as to avoid issues like increased computational

complexity and overtraining of the net. The feature vectors thus obtained are used to train an LVQ based neural network

classifier to classify them in the aforementioned categories. After the network is trained, its performance in terms of its

generalizing ability is tested on a separate test dataset which was not used during training.

PaperID_218 Application of the Wavelet Analysis in Detection of Fault Diagnosis of Heart

D.T. Ingole1, Kishore Kulat2, M.D. Ingole31,2VNIT, Nagpur, India

3PRM Institute of Technology & Research, Badnera, Amravati, IndiaAbstract-In this paper, we describe the ECG PQRST key features detector based on dyadic wavelet transform (DyWT) which is

robust to time varying & noise. This method analyses ECG waveform. It includes noise purification, sample design of digital

ECG. This method can implement ECG report in real time and provide exact explanation for diagnostic decision obtained. We

exemplify the performance of the DyWT based PQRST detector by considering problematic ECG signal from MIT-BIH data

base. From the results we observed that DyWT based detector exhibited superior performance compared to standard techniques.

This paper discusses the use of digital signal processing approach for the use of fault diagnosis of heart.

PaperID_221 An Introduction to Independent Component Analysis and its Applications in Biomedical Signal Processing

Varun Gupta1, Dilbag Singh2, Gavendra Singh3

Dr. B. R Ambedkar National Institute of Technology Jalandhar, INDIA

Email: [email protected], [email protected],[email protected] signal analysis has become one of the most important visualization and interpretation approach in biologyand medicine. Much modern and powerful equipment for detecting, storing and analysing, have been come in recent years, givingscientists and physicians to get quantitative measurements to support scientific hypotheses and medical diagnoses. Independent

Component Analysis (ICA) is a statistical technique for decomposing a complex data set into independent sub-parts. Theoreticaland practical aspects of biomedical signal analysis and interpretation are most important. ICA is a much more powerfultechnique, however, capable of finding the underlying factors or sources when the classic methods (such as PCA) fail completely.


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PaperID_222 Coherence Analysis between ECG and EEG Signal

Gavendra Singh and Dilbag SinghNIT Jalandhar, Punjab (INDIA)-144011

Abstract-This paper presents the degree of association or coupling of frequency spectra between the ECG and EEG signals at a

particular frequency. Coherence is often interpreted as a measure of coupling and as a measure of a functional association

(relationship) between two signals (ECG Signal and EEG Signal). An electrocardiogram or ECG is an electrical recording of the

heart and is used in the investigation of heart disease. An electrocardiogram (ECG) is a graphic tracing of the electric current

generated by the heart muscle during a heartbeat. It has been used extensively in medicine sine its inventions in the early 1900sand has been proven to be invaluable in various diagnostics applications and clinical applications. An EEG Signal reflects the

electrical activity of human brain. EEG signals arises from the fact that these waveforms provide the non-invasive diagnostic tool

in a wealth of disorders that include epilepsy and comma assessment in intensive e care unit. In this paper we analysed the

association of heart with mind signals (ECG and EEG) by obtaining magnitude squared coherence and phase coherence

parameters at a certain range of frequency.

PaperID_225 A Review on Biomedical Systems and Biomedical Signal Processing Techniques

Sachin Sharma, Irshad Ahmad AnsariDepartment of Instrumentation and Control Engineering, NIT Jalandhar, India

Abstract- With the help of biomedical signal processing techniques Combining with state of the art technology, we can producesophisticated systems that can improve the treatment facilities available to a patient and can extend the capabilities of the

disabled person, such as life support systems, health monitoring systems, ECG, MRI and electroencephalogram. In this paper, athorough review, of biomedical systems and biomedical signal processing methods and techniques, is done. AT the end of the

paper, future trends in biomedical systems and processing techniques are discussed.

PaperID_237 Analysis of Respiratory signal & Electrocardiogram signal using Principal Component Analysis

Varun Gupta1, Gavendra Singh2, Priyanka Singh3, Dilbag Singh 4, Anil K.Sekharmantri5, Chaman Lal6

[1,2,4,5,6] Dept. of Instrumentation & Control Engg., NIT Jalandhar, Jalandhar, INDIA[3] Dept. of Instrumentation & Control Engg. NITTTR, Chandigarh, INDIA

Abstract- Cardiovascular diseases & respiration diseases are one of the main courses of death around the world.

Electrocardiogram (ECG) supervising is the most important and efficient way of preventing heart attacks. Machine monitoringand analysis of ECG & respiratory is becoming a major topic of the modern medical research. Respiratory diseases can be costlyfor both human being & animals (horse, sheep, donkey). Some respiratory diseases may cause abortion, and the expense ofveterinary care associated with respiratory disease can be significant. Early detection of respiratory disease is important for

successful treatment and to minimize days lost in training, racing, showing or poor performance, which often is the greatest cost.In this paper we extract the principal characteristics of the signal by means of the principal component analysis (PCA) technique.This paper describes the application of principal component analysis (PCA), a technique allowing the reduction of the data setdimensionality. Principal component (PC) analysis allows the definition of a transform with optimum coefficients. A function has

been derived from the two first PCs, which represent an evidence function to be used both for a compact visual presentation andfor the design of an algorithm for automatic episode detection.

PaperID_238 Power Line Interference Noise Removal from ECG Signal using Adaptive Filter LMS Algorithms

Gavendra Singh1, Varun Gupta2, Chaman Lal3, Navleen Singh Rekhi4, Priyanka Singh51,2,3,4Department of Instrumentation & Control Engineering,, National Institute of Technology, Jalandhar, Punjab, INDIA,

5NITTTR, Chandigarh,Punjab, INDIAAbstractthe electrocardiogram (ECG) is the most commonly used for diagnosis of heart diseases. Good quality ECG is utilized

by physicians and biomedical researchers for interpretation and identification of physiological and pathological phenomena.However, in real situations, ECG signals are corrupted by artifacts like 50Hz power line interferences, electrode motion, musclesmovements etc. So the noise removal is a classical problem in ECG records that generally produces artifactual data when

measuring the ECG parameters. In recording a heartbeat, this is being corrupted by a 50 Hz noise means, the frequency comingfrom the power supply in many countries. One way to remove the noise is to filter the signal with a notch filter at 50 Hz.However, due to slight variations in the power supply to the hospital, the exact frequency of the power supply might varies

between 47 Hz and 53 Hz. Adaptive filters permit to detect time varying potentials and to track the dynamic variations of the

signals. Besides, they modify their behaviour according to the input signal. Therefore, they can detect shape variations in theensemble and thus they can obtain a better signal estimation. In this paper we are using adaptive filter based on the LMSalgorithm in biomedical signal processing.

PaperID_255 QRS Detection in Single Lead ECG using PNN

M. K. Bhaskar 1, S. S. Mehta 2, Swati Sharma 3, N. S. Lingayat 41,2,3Electrical Engineering Department, Jai Narain Vyas University

MBM 4Electrical Engineering Department, Dr. B. A. Technological University, Lonere-402103, Maharashtra, IndiaAbstract-This paper presents a QRS detection algorithm in single lead Electrocardiogram (ECG) using Probabilistic Neural

Network (PNN). Digital filtering techniques are used to remove base line wander and power line interference. Algorithmperformance has been evaluated on the 50 cases of lead V3 from the CSE ECG Database. The numerical results indicated that the


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algorithm achieved 99.5% of the detection rate, and also, it could function reliably even under the condition of poor signalquality in the ECG data.

PaperID_361 An Adaptive Method for Elimination of Power Line Interference in ECG Signals using EMD

Saurabh Pal1, Madhuchhanda Mitra21Dept. of Instrumentation Engineering, Haldia Inst. Of Technology, Haldia, India

2Dept. of Applied Physics, University of Calcutta, Kolkata, India

Abstract-ECG analysis is a well adopted technique for cardiological diagnosis. For accurate interpretation of ECG it must be ofgood quality. But some high and low frequency artifacts may present in ECG due to unavoidable reasons. Power line interference

is a high frequency noise that corrupts the signal and leads to error in feature extraction from ECG. As almost all classification

and monitoring techniques are based on features, the reliability of them reduces if the features are inaccurately detected. Thus

power frequency noise should be removed prior to feature extraction. A novel method for power frequency noise elimination

based on Empirical Mode Decomposition (EMD) is presented in this paper. Being a completely data driven method, EMD can be

applied to any kind of power line noises. The method is based on selective reconstruction of signal from the IMFs. Direct

removal of IMFs may lead to signal distortion at peaks, so a data driven peak correction is made. The method is tested on ECGs

taken from Physionet PTB diagnostic databases and validated both qualitatively and quantitatively with a good result.

PaperID_363 Intelligent Tutoring System for Telugu Language Learning (INTTELL)M Nagamani1, B S R Krishna2

Department of Computer and Information Sciences, University of HyderabadAbstract-Speech offers a powerful avenue between the user and the computer. Speech synthesis and recognition have interestingapplications in the field of Education. Thus, we are building an Intelligent Tutoring System (ITS) in an attempt to bring a

personal tutor experience to a broader, and more basically, the local audience. For the purpose, the domain we have chosen is theelementary Telugu language, however, a similar but modified version of the same tutor can be effectively used for any foreignlanguage learning. Intelligent Tutoring system for Telugu Language Learning INTTELL is based on Cognitive Psychology inHuman Computer Interaction. This INTTELL uses Automated Speech Recognition (ASR) technology to listen learners and helpsthem how to read and write Telugu language. The tutor also analyzes, assesses the user and intelligently gives its response in a

way suitable to the level of understanding of the user. Sphinx III Automatic Speech Recognition is used to train the system torecognize Telugu aksharas, words and simple sentences, which are all taken as different levels of learning the language. Flashmacromedia tool is used to create/write animated characters (aksharas), words with corresponding pictures for an effectivelearning. The tutor contains two modules namely, the student module and the teacher module, and it speaks through a Speech

synthesis system.This system will helps adult education and foreign language learning though Information Technology.

PaperID_364 Speech Recognition for Kokborok Language

Abhijit Debbarma1, M Nagamani2, B S R Krishna31Dept of Comp Sc & Engg, IIT Guwahati, Guwahati, Assam, India

2,3DCIS, University of Hyderabad, Hyderabad, AP, IndiaAbstract-This work entitled Speech Recognition for Kokborok Language' tries to study the scope of Kokborok speech

recognition. This work is to give more light in the field of multilingual speech recognition. Speech recognition for popular

language like English are already developed and successful but for language like Kokborok this is the beginning in the area of

speech recognition. The paper tries to study the scope of Kokborok Speech Recognition using the English phoneme. The

experiment is being carried out using the CMU speech recognition engine Sphinx-III.

Technical Session-BTrack: BIOMEDICAL SIGNAL PROCESSING-II

PpaperID_266 Haar Wavelet Based Approach for State Analysis of Biomedical Systems

Akanksha Gupta, Monika Mittal. Lillie Dewan

Department of Electrical Engineering

National Institute of Technology KurukshetraAbstract - This paper studies the state analysis of biomedical systems modeled as linear time invariant systems via Haar wavelets.

Some intrinsic properties of Haar wavelets are exploited and a Haar product matrix and a coefficient matrix are also derived.With the aid of the above tools, the state analysis can be solved easily. The local property of Haar wavelets is fully applied to

shorten the calculation process in the task.

PaperID_267 Heart Rate Measurement and Analysis using Fuzzy Logic

N.Thanigasalam*, Kailash K*, and C.Vaithilingam*** EEE Dept., SRM University

Abstract-The constant monitoring and analysis of heart rate of an individual can help in maintaining a record of his physicalcondition over a period of time. This data helps the individual to predict impending ailment, also, to regulate his method oftraining to improve fitness. The device being proposed aims to serve the above mentioned purpose. A wrist mounted heart rate


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measuring device capable of continuous measurement of pulse (using piezoelectric sensor) and storage of the same for furtheranalysis (using Fuzzy logic). This entire setup is integrated on to a digital watch circuit modified so as to make it self-charging.

PaperID_268 Feature Extraction and Analysis of Multi-Lead Electrocardiograms

Channappa Bhyri**, S.T.Hamde*, L.M.Waghmare*

**PDA College of Engineering, Gulbarga, Karnataka,

souvenir beats 2010

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