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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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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
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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
Dr. B R Ambedkar National Institute of Technology, Jalandhar
Join t Secretary:
Dr. Ramesh Kumar Sunkaria
Associate Professor
Dept. of Electronics & Communication Engineering
Dr. B R Ambedkar National Institute of Technology, Jalandhar
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
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
13:00 to 14:00 hrs. Lunch Community Centre
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
15:30 to 16:00 hrs. Tea Break GF, 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
10:30 to 10:45 hrs. Tea Break GF, 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
13:30 to 14:30 hrs. Lunch Community Centre
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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
S. No. Paper ID Title and Authors
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
Venue: Conference Hall-GF, IT Building
Track: MEDICAL IMAGING AND IMAGE PROCESSING
S. No. Paper ID Title and Authors
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
Venue: Conference Hall-GF, IT Building
Track: MEDICAL DEVICES, MEASUREMENT AND INSTRUMENTATION
S. No. Paper ID Title and Authors
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
S. No. Paper ID Title and Authors
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
Venue: Conference Hall-GF, IT Building
Track: HEALTH CARE TECHNOLOGY-II
S. No. Paper ID Title and Authors
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
Venue: Conference Hall-FF, IT Building
Track: SYSTEM MODELLING, SIMULATION AND CONTROL
S. No. Paper ID Title and Authors
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
Venue: Conference Hall-SF, IT Building
Track: BIOENGINEERING-I
S. No. Paper ID Title and Authors
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
Venue: Conference Hall-GF, IT Building
Track: BIOENGINEERING-II
S. No. Paper ID Title and Authors
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
Venue: Conference Hall-FF, IT Building
Track: BIOENGINEERING-III
S. No. Paper ID Title and Authors
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
Venue: Conference Hall-GF, IT Building
Track: ASSISTIVE TECHNOLOGIES
S. No. Paper ID Title and Authors
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
Venue: Conference Hall-FF, IT Building
Track: WIRELESS SENSOR NETWORKS
S. No. Paper ID Title and Authors
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
Venue: Conference Hall-SF, IT Building
Track: BIO-DEVICES AND RECENT ISSUES-I
S. No. Paper ID Title and Authors
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
Venue: Conference Hall-SF, IT Building
Track: BIO-DEVICES AND RECENT ISSUES-II
S. No. Paper ID Title and Authors
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,