rps_proposal _ss_mehta_mbm_jodhpur.pdf

All India Council for Technical Education (A Statutory body under Ministry of HRD, Govt. of India)

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Application ID: 1-1535720462

Proforma for submission of proposal under the

RESEARCH PROMOTION SCHEME

Name of the Institute M.B.M. Engineering College

Address Faculty of Engineering, Jai Narain Vyas University, Residency Road, Jodhpur -342001 (Raj)

Contact details [email protected] FAX: 0291-2513448 Tel: 0291-2514790

Permanent Id of the Institute 1-3449021

Application Id 1-1535720462 (AQIS Application Number),

1-1437921022 (Current Application Number)

Department ELECTRICAL ENGINEERING DEPARTMENT

Strength & Weakness of the Institute

Strength: Premier Institution of Rajasthan (Govt) Established in 1952

Weakness: Stringent position of funds. That is why this application for R&D Project

Technical Field of proposal

BIO MEDICAL ENGINEERING (Electrical Engineering)

Add rows as required

Title of proposal

Development of intelligent classifiers for automated analysis of multi-lead ECG


Abstract

It is proposed to collect ECG data from AIIMS Delhi, PGI Chandigarh, Malaya Hospital Bangalore, Apollo Hospital Chennai and local hospitals. Intelligent classifiers based on techniques like Linear Support Vector Machine, Artificial Neural Network, Pattern-recognition, Genetic algorithm, digital signal processing, fuzzy theory etc. are proposed to be developed for the analysis and diagnosis of ECG. The effectiveness of the classifiers shall be evaluated using standard ECG database of CSE (France), AHA and MIT-BIH (USA). The proposed project is an attempt to develop a more reliable indigenous portable ECG analyzer and save valuable foreign exchange. The prototype developed shall have an important role in monitoring the health of ambulatory as well as non-ambulatory patients in Intensive Care Units (ICU) and Cardiac Care Units (CCU) in hospitals.



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Objective - Project Significance / Relevance with ongoing academic activities

a) Collect ECG data from various hospitals of the country b) Coordinate with local and other medical colleges/hospitals. c) Develop intelligent classifiers for computer based diagnostic system for the analysis of multi-lead ECG

d) Electrical Engineering Dept., JNV University, Jodhpur has been actively involved in research in Biomedical Engg. For the last decade and has been helpful in developing faculty in the area. The proposed project shall not only provide additional infrastructure for biomedical research, which is presently not adequately available in western part of Rajasthan, but provide them a platform to carry their ongoing research and expertise further.


Project Impact -Expected outcome

a) Aims at developing intelligent classifiers for the identification of various important wave complexes of ECG which shall be used for the analysis and diagnosis of ECG.

b) The proposed study shall lead to development of ECG analyzer. It shall help cardiologists to quickly and accurately process more number of ECGs. Thus, providing better and efficient health care services.

c) It has application in both urban as well as rural areas. If the product is interfaced with knowledge base, it has important role in rural areas where it can help in arriving at a decision and in critical cases moving the patient to place with better medical facilities, well in time.

d) Saving of valuable foreign exchange.


Literature survey on National &International scenario

Various programs for the computerized interpretation of the ECG are commercially available namely, AVE (USA),

Glasgow (UK), HES, HP (USA), Leuven, Lyon, Marquette (USA), MEANS (NL), MEDIS, Nogya (Japan), Padova,

Porto etc. based on statistical and heuristic methods but their finer technical details are not available due to trade

secrets. Moreover, research is being carried out and the available literature is limited only to identification of only a

few features of the ECG. The proposed project aims at accurate identifications of most of the components of ECG

using intelligent classifiers instead of few with better accuracy.


Techno-Commercial status / Outcome / IPR / Social benefit /other

Some research work in this area is being carried out at IIT Delhi, IIT Roorkee and IISc Bangalore. The final product

shall help cardiologists to quickly and accurately process more number of ECGs and lead to better health care of

both Urban as well as rural population. The preliminary result indicate the performance of the proposed project shall

be cost effective and better than those prevailing in the medical use. It will save valuable foreign currency.


Technical Consultancy / Revenue generation After development of product and Patent revenue can be generated



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Time & activity chart

Facilities / equipment available in the area of research proposed

Name of equipment Make and model Cost in Rs. Year purchased

LAPTOP COMPAQ 1,90,000 2000 (Obsolete)

PC COMPAQ 77,000 2000 (Obsolete)

ECG RECORDING MACHINE BPL (analog Single lead) 30,000 2000 (Obsolete)

Budget Estimates – Non Recurring

Proposed equipment/s Specifications No of units

Cost in Rs. Justification

ECG Recording Machine 12-lead simultaneous 2 2,00,000 ECG data acquisition

LAPTOP & DOCK STATION Duo Core/Latest version 2 2,00,000 Field data collection

Desktop PC and peripherals Duo Core/Latest version 2 2,00,000 Computation & analysis work

Laser Printers (Color & B/W) Heavy duty 2 1,75,000 ECG & report printouts

UPS 1 KVA 1 1,00,000 For PC & Equipments

ECG 12-lead simultaneous recording machine, AC ADC PCMCIA interfacing cards, medical development kit, front end performance demonstration kit, DSP starter kit, DSP evaluation module, Memory daughter card, voltage stabilizer, ECG recording cubical, patient bed, recording-panel/table, peripherals, etc.

Suitable for 12-lead simultaneous ECG

recording

1 set 4,00,000 Patient ECG recording & development of ECG Recording-station

Activity Months

1

2

3

4

5

6

7

8

9

10

11

12

13

14

15

16

17

18

19

20

21

22

23

24

25

26

27

28

29

30

31

32

33

34

35

36

Receive Grant

Purchase of equipment

Field data collection & Development of intelligent classifiers

Report preparation & submission


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AHA & MIT-BIH ECG database, MATLAB, and softwares

Proprietary Items 1 set 4,00,000 Standard ECG database for development & testing of proposed classifiers

External Hard disks, pen drive & storage devices

1-5 TB 6 25,000 Data storage

Total(NR) 17,00,000


Budget Estimates –Recurring

Estimate for Year 1 Estimate for Year 2 Estimate for Year 3

AMC/Service charges Nil (warranty period) 50,000 50,000

Consumables & Contingencies 50,000 50,000 50,000

Travel, books, Photocopy, postage, internet etc.

25,000 25,000 25,000

Man Power (Research Scholar)

Stipend

1,20,000 1,20,000 1,20,000

Total 1,95,000 2,45,000 2,45,000


Payment disbursement schedule

Advance installment Installment on completion of year 1

Installment on completion of year 2

Total (Max 25 Lakhs)

NR R1 R2 R3 NR+R1+R2+R3

17,00,000 1,95,000 2,45,000 2,45,000 22,95,000

Profile of collaborating/participating Industry/s or other orginisation/s, if any.

Name Address Website Contact person , designation, email

Role$ in

collaborating/participating

Financial commitment#

towards project in Rs.

MDM Hospital

Jodhpur-342001

- Dr. Sanjeev Sangvi

Professor in Cardiology,

[email protected]

Guidance in Project development & Medical authentication of test results

NIL

Total Rs. NIL $Mention role of Industry/orgnisation.

Provide resume of participating personnel from Industry/orgnisation with their strength and role in the research project. Add rows as required. Attach additional pages if required.


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Details of Project Coordinator

Name Dr. SARABJEET SINGH MEHTA

Exact designation Professor Date of joining 16 Sep 1981

Appointment Type Permanent Scale of Appointment 37,400-67,000 + 10000 DP

Department Electrical Engineering Department

Qualifications BE (Electrical) Hons ME (Controls) Hons PhD (IIT)

Experience in years Teaching 31 Years Industry - Research 27 Years

Students guided UG 45 PG 12 PhD 5

Publications National - 32 International - 40 Books - NIL

Relevant experience Actively involved in the field of Biomedical Engg. For 27 Years and published 67 research papers at National and International level. Reviewer of more than a dozen International Journals.

Other information Completed 2 major Research Project and Guided 5 PhD Scholars

Cell number 9460105900

Email [email protected]

Signature

Details of earlier grants awarded to the Institute (Give details of grants received in last three years)

Scheme Name of the coordinator

Amt sanctioned

In Rs Lacs

Sanctioned letter details

Funds Utilisation position as on today

UtilisationCertificatedetails/ Reason for non- submission of Utilisation Certificate NR R

R&D Dr. S. S. Mehta

Rs 4.50 Rs 0.50 8017/RDII/R&D/DEG (681)/98-99

Dt 27.03.1999 for

Rs 5,00,000.00

Rs 4,99,867.00 Utilized

Rs 133.00 Refunded

Utilisation Certificate submitted

CA M/s Kanstia & Co

Jodhpur

RPS Dr. S. S. Mehta

Rs 8.75 Rs 0.20 8022/RID/NPROJ/RPS-10/2003-04

Dt 22.05.2004 for

Rs 8,95,000.00

Rs 8,74,669.00 Utilized

Rs 331.00 Refunded

Utilisation Certificate submitted

CA M/s Kanstia & Co

Jodhpur



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By signing this certificate, I/We undertake to Abide by all the rules / regulations regarding utilization of amount that may be granted to the Institute. Submit timely progress reportsabout grant utilization. Submit utilization certificate duly authenticated by CA on/before project period is over. Return full/partial unutilized grant amount to the Council.

Project forwarded to AICTE Signature of Head of the Institution

Date : 31 Dec, 2012 Institute Seal Important :You need to apply on web portal using your Institute login and password. Select tab “AQIS application”. Press “New” to create

new application. Your application is assigned unique application Id. Fill all the details over there. Prepare application in this proforma also. Attach PDF of it to the application on web portal. Now press “submit” on web portal to submit application. Pay processing fees on web portal using appropriate payment option.


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LIST OF RESEARCH PUBLICATIONS (Dr. S. S. MEHTA, Professor, Electrical Engg. Dept., MBM Engineering College, Jodhpur)

(Updated 1st Oct, 2012)

A. International Journals

1. Mehta S.S., Saxena S.C. and Verma H.K. “Computer aided interpretation of ECG for diagnostics”, International Journal of System Science, vol. 27,

no. 1, pp 43-58, 1996. 2. Mehta S.S. and Lingayat N.S. “Development of Entropy based Algorithm for Cardiac Beat Detection in 12-Lead Electrocardiogram,” Signal Processing, vol. 87, no: 12, pp. 3190-3201, 2007. 3. Mehta S.S. and Lingayat N.S. “Support Vector Machine for Cardiac Beat Detection in Single Lead Electrocardiogram,” International Journal of Applied Mathematics, vol. 36, no: 2, pp 20-26, 2007 4. Mehta S.S. and Lingayat N.S. “Comparative Study of QRS Detection in Single Lead and 12-lead ECG based on entropy and combined

entropy criteria using Support Vector Machine,” Journal of Theoretical and Applied Information Technology, vol. 3, no: 2, pp 8-18, 2007.

5. Mehta S.S. and Lingayat N.S. “Comparative Study of QRS Detection in Single Lead and 12-lead Electrocardiogram using Support Vector Machine,” Engineering Letters, vol.15, no: 2, pp.175-183, 2007. 6. Mehta S.S. and Lingayat N.S. “Identification of QRS complexes in 12 lead Electrocardiograms,” Expert Systems with Applications

(Accepted, in Press) 2007. 7. Mehta S.S. and Lingayat N.S.

“Combined Entropy based Method for Detection of QRS Complexes in 12-Lead Electrocardiogram using SVM,” Computers in Biology and Medicine, vol. 38, no: 1, pp. 138-145, 2008.

8. Mehta S.S. and V. S. Chouhan “Detection of QRS complexes in 12-lead ECG using Adaptive Quantized Threshold,” International Journal of Computer Science and Network Security, vol. 8, no. 1, pp. 155-163, 2008.

9. Mehta S.S. and Lingayat N.S. “Detection of QRS Complexes in Electrocardiogram using Support Vector Machine,” Journal of Medical

Engineering and Technology vol. 32, no. 3, pp 206-215, May/June 2008. 10. Chouhan V. S, Mehta S.S.

“Threshold-based detection of P and T-wave in ECG using New Feature Signal”, International Journal of Computer Application and Network Security, vol. 8, no. 2, pp. 144-153, 2008.

11. Chouhan V. S, Mehta S.S. and Lingayat N.S. “Delineation of QRS-complex, P and T-wave in 12-lead ECG”, International Journal of Computer

Application and Network Security, vol. 8, no. 4, pp. 185-190, 2008. 12. Mehta S.S., Trivedi C. R. and Lingayat N.S.

“Localization of QRS Complexes In Single Lead ECG”, International Journal of Computer Science and Applications, vol. 1, no. 3, 2008.

13. Mehta S.S. and Lingayat N.S. “SVM based algorithm for recognition of QRS complexes in Electrocardiogram”, Innovations of Technologies in Biomedical Engineering (IRBM) vol. 29, pp. 310-317, 2008.

14. Mehta S.S., Lingayat N.S. and Sanjeev Sanghvi “Detection and Delineation of P and T-waves in 12-lead Electrocardiogram”, Expert Systems, Special Issue on Advances in Medical Decision Support Systems, vol. 26, No. 1, pp 125-143, Feb 2009.


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15. Mehta S.S. and Lingayat N.S. “Development of SVM based classification techniques for the delineation of wave components in 12-lead Electrocardiogram”, Biomedical Signal Processing and Control vol. 3, pp. 341-349, 2008.

16. Mehta S.S. and Lingayat N.S.

“Application of Support Vector Machine for the detection of P and T- waves in 12- lead Electrocardiogram”, Computer Methods and Programs in Biomedicine vol. 93, pp. 46-60, 2009.

17. S.S. Mehta, D.A. Shete, N.S. Lingayat, V.S. Chouhan

“K-means algorithm for the detection and delineation of QRS-complexes in Electrocardiogram”, Innovations of Technologies in Biomedical Engineering (IRBM) Available online 28 November 2009.

18. Sharma Swati, Mehta S.S. and Mehta Harleen

“Development of derivative based algorithm for the detection of QRS-complexes in

Single lead Electrocardiogram using FCM”, Special Issue of International Journal of

Computer Applications (0975 – 8887) on Electronics, Information and Communication

Engineering - ICEICE No.4, pp19-23, Dec 2011

B. National Journals

1. Mehta S.S. and Lingayat N.S “Development of SVM based ECG Pattern Recognition Technique,” IETE Research Journal, vol. 54, no.

1, pp 5-11, January-February 2008. 2. Mehta S.S. and Lingayat N.S.

“SVM based QRS Detection in Electrocardiogram using signal entropy”, IETE Research Journal, Special issue on Biomedical Signal and Image Processing vol. 54, no. 3, pp 231-240, May-June 2008..

C. International Conferences

1. Sharma Swati, Mehta S.S. and Nagal Devendra “Art of QRS Detection and Importance of Wireless ECG ” , International Conference On Electrical Engineering and Computer Science (ICEECS - 2012), 9 September 2012, Dehradun

2. Sharma Swati, Mehta S.S., Nagal Devendra, Mehta Harleen and Mehta Guneet “BIOMETRICS- A REVIEW”, International Conference on Advances in Electronics, Electrical and Computer Science Engineering (EEC 2012),pp 211-214, 7-9 July 2012, Dehradun

3. Nagal Devendra, Mehta S.S., Sharma Swati, Mehta Harleen and Mehta Guneet “NANOBOTS and their application in Biomedical Engineering”, International Conference on Advances in Electronics, Electrical and Computer Science Engineering (EEC 2012), pp-215-219, 7-9july 2012 ,Dehradun

4. Sharma Swati, Mehta S.S., Nagal Devendra, Mehta Harleen and Mehta Guneet “Emerging Technology-Smart Grid”, International Conference on Advances in Electronics, Electrical and Computer Science Engineering (EEC 2012),pp- 220-224, 7-9july 2012, Dehradun

5. Mehta S.S. and Lingayat N.S. “Detection of P and T waves in Electrocardiogram”, World Congress on Engineering & Computer Science 2008, Oct 22-24, 2008, San Francisco, USA.

6. Mehta S.S., Trivedi C. R. and Lingayat N.S. “QRS Detection in Electrocardiogram,” Proceeding of International Conference on

Recent Applications of Soft Computing in Engineering and Technology, pp. 764-769, Dec. 22-23, 2007, Institute of Engineering and Technology, Alwar, India.

7. Mehta S.S., Shete D. A. and Lingayat N.S. “ECG pattern recognition using K-means algorithm,” Proceeding of International Conference on Recent

Applications of Soft Computing in Engineering and Technology, pp. 770-774, Dec. 22-23, 2007. Institute of Engineering and Technology, Alwar, India.


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8. Mehta S.S. and Lingayat N.S. “Biomedical signal processing using SVM,” Proceeding of International Conference on Information and Communication Technology in Electrical Sciences, pp. 527-532, Dec. 20-22, 2007, Chennai, India.

9. Mehta S.S. and Lingayat N.S. “Detection of T-waves in 12-lead Electrocardiogram,” Proceeding of International Conference on Computational Intelligence and Multimedia Applications, pp. 512-516, Dec.13-15, 2007, Sivakasi, India.

10. Mehta S.S. and Lingayat N.S. “An Entropy Based Method for ECG Pattern Recognition,” Proceeding of International Conference on Recent Advancements and Applications of Computer in Electrical Engineering, March 24-25, 2007, Engineering College, Bikaner, India. 11. Mehta S.S. and Lingayat N.S.

“Support Vector Machine for Cardiac Beat Detection in Single Lead Electrocardiogram,” Proceeding of International Conference on Electrical Engineering pp.1630-1635, March 21- 23, 2007, Hong Kong.

12. Mehta S.S. and Chouhan V. S. “Total removal of baseline drift from the ECG signal,” International Conference on Computing Theory and Applications, pp. 512-515, March 5-7, 2007, Indian Statistical Institute, Kolkata, India.

13. Mehta S.S. and Lingayat N.S. “ECG Pattern Classification using Support Vector machine,” In Proceeding of The Sixth International Conference on Advances in Pattern recognition, pp. 295-298, January 2-4, 2007, Indian Statistical Institute, Kolkata, India.

14. Mehta S.S., Dave V., Kumar A. and Gupta S. “An Entropic Method For The Detection Of QRS Complex In 12-Lead ECG Using ANN”, In Proceeding of World Congress on Medical Physics and Biomedical Engineering, August 24 – 29, 2003, Australia.

15. Mehta S.S., Dave V., Vyas S.D. and Chouhan V.S.

“Detection of QRS-complexes in 12-lead ECG using Error Back Propagation neural network”, In

Proceeding of International Congress on Biological and Medical Engineering December, 4-5,

2002, Singapore.

16. Mehta S.S. “Identification of QRS-complex in electrocardiograms using pattern recognition approach”, In Proceeding of First International Conference on Information, Communication & Signal Processing, September 9-12, 1997, Singapore.

17. Mehta S.S., Saxena S.C. and Verma H.K.

“Recognition of P and T waves in electrocardiograms using fuzzy theory”, In Proceeding of First Regional Conference IEEE Engineering in Medicine and Biology Society, pp 2.54-2.55, February 1995, New Delhi, India.


“A computer based algorithm for frontal plane axis calculation of electrocardiograms”, Proc.

International Conference On Recent Trends in Biomedical Engg., pp. 149-152, January 1994,

Hydrabad, India.


“A direct method for removal of noisy peaks in ECG waveforms”, Proc. International Conference

On Recent Trends in Biomedical Engg., pp. 256, Jan 1994, Hydrabad, India.

20. Mehta S.S.

“Design of decision tree based on fuzzy entropy maximization and its application to recognition

of handprinted Devnagari characters”, In proceeding of International Conference on Automation,

Robotics and Computer Vision – ICARCV’90, Sept. 18-21, 1990, Singapore.


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21. Mehta S.S.

“Design of fast classifier for recognition of handwritten Devnagari characters based on entropy and fuzzy theory,” In proceeding of 33rd Midwest Symposium on Circuits and System, August 12-14, 1990, Alberta, Canada.

22. Bansal V.S. and Mehta S.S. “Recognition of handwritten Devnagari characters using entropy maximization and fuzzy

theory”, Second International Conference on Telecommunication and Control, TELECON’85,

Dec 18-19, 1985, Rio De Janeiro, Brazil.

D. National Conferences

1. Sharma Swati, Mehta S.S., Nagal Devendra, Bhaskar M.K., Jangid Kirti and Mehta Harleen, “Rotation Estimation”, UGC National Conference on Advances in Computer Integrated Manufacturing (NCACIM-II), M.B.M Engineering College, Jodhpur, Rajasthan, March 2012.

2. Sharma Swati, Mehta S.S., Nagal Devendra and Mehta Harleen, “Wireless Ecg- An Overview”, UGC National Conference on Emerging Trends in Computer Communication and Networks (ETCN-2012) M.B.M Engineering College, Jodhpur, Rajasthan, March 2012.

3. Nagal Devendra, Mehta S.S., Sharma Swati and Mehta Harleen “A New Era in E-Medical”, UGC National Conference on Emerging Trends in Computer Communication and Networks (ETCN-2012), M.B.M Engineering College, Jodhpur, Rajasthan, March 2012.

4. Jangid Kirti, Mehta S.S., Sharma Swati and Mehta Harleen “Computational Techniques for QRS Detection in ECG: A Review”, UGC National Conference on Emerging Trends in Computer Communication and Networks (ETCN-2012), M.B.M Engineering College, Jodhpur, Rajasthan, March 2012.

5. Shete D. A., Lingayat N.S, Gahlot A. S. and Mehta S.S., “Stem cell Transplantation using Nanorobot,” Proceeding of National Conference on Applications of

Nanotechnology, JECRC, pp. 78-85, December 27-29, 2007, Jodhpur. 6. Mehta S. S, Lingayat N. S. and Bansal S. K “Detection of QRS complexes in Pericardial Leads of ECG using Genetic Algorithm,”

Proceeding of National Conference on Information Technology Engineering Perspective and Practices, ITEEPP07, pp. 297-303, April 6-7, 2007, Patiala.

7. Mehta S. S. and Saini D. V. “A Combined entropy based method for detection of QRS complexes in 12-lead ECG using ANN,”

Proceeding of National Conference on Information Technology Engineering Perspective and Practices, ITEEPP07, pp. 337-344, April 6-7, 2007, Patiala.

8. Mehta S. S, Lingayat N. S. and Bansal S. K “Entropy Based Method for Detection of QRS Complexes using Genetic Algorithm,” National Level

Symposium on Security and Soft Computing, March 30-31, 2007, Surat. 9. Mehta S.S. and Lingayat N.S. “Application of Support Vector Machine for Heart Beat Recognition,” National Level

Symposium on Security and Soft Computing, March 30-31, 2007, Surat. 10. Mehta S.S. and Lingayat N.S. “Software Detection of Cardiac Beat in Electrocardiograms,” National Conference on Power Electronics and

Intelligent Control, pp. 305-308, March 19-20, 2007, Jaipur. 11. Mehta S.S. , Lingayat N.S. and Bansal S. K “Computer-aided Detection of QRS complexes in Electrocardiogram,” National Conference on Emerging

Trends in Computer Simulations and Modeling for Real Life Complex Systems, Feb. 2007, Jodhpur.


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12. Mehta S.S. , Lingayat N.S. and Bansal S. K “Application of Genetic Algorithm for ECG Pattern Recognition,” UGC National Conference on Advances in

Computer Integrated Manufacturing, pp. 36-40, Februry 2007, Jodhpur. 13. Mehta S.S. and Lingayat N.S. “Development of QRS detection algorithm for ECG analysis,” National Conference on Advances in Electrical

Engineering, pp. 239-241, Nov. 2006, Gwalior. 14. Mehta S.S. and Lingayat N.S. “Computer-aided QRS detection in single-lead ECG based on support vector machine,” National Conference

on Computational Techniques in Decision Making, pp. 45-47, Oct. 2006, Bikaner 15. Mehta S.S., Saini D.V. and Pratibha Mishra

“An entropy based approach for the measurement of heat rate using artificial neural network”,

National Conference on Emerging Computational Techniques And Their Applications, pp. 122-

124, 22-23 October, 2005, Jodhpur.

16. Mehta S.S. and Lingayat N.S.

“Computational techniques for QRS detection in ECG: A review”, National Conference on

Emerging Computational Techniques And Their Applications, pp. 125-130, 22-23 October, 2005,

Jodhpur (India).

17. Chouhan V.S.Mehta S.S., and D.V. Saini

“Nanotechnology and its applications”, National Conference on Emerging Computational

Techniques And Their Applications, pp. 258-263, 22-23 October, 2005, Jodhpur (India).

18. Dave V., Mehta S.S. and Patel N.K.

“Possible application of support vector machine to power system and control”, National seminar

on Emerging Trends in Soft Computing based artificial intelligence, pp.147-155, February 27-29,

2004, Jodhpur.

19. Mehta S.S. and Dave V. “Artificial neural networks for biomedical engineering,” National Seminar on Soft Computing and its Engineering Applications, pp.163-168, February 15-17, 2002.

20. Mehta S.S. and Dave V. “Artificial neural network based identification of faults in underground cables,” National seminar

on current applications of computers in design engineering, pp.233-236, March 3-4, 2001,

Jodhpur.

21. Mehta S.S.

“Recent Advances in Computer Aided Medical Imaging,” National seminar on current

applications of computers in design engineering, pp. 147-148, March 3-4, 2001, Jodhpur.

22. Mehta S.S.

“Local Development of Bio-Medical Technology - A Must for the Third World”, regional

seminar on Vision for balanced growth in Technical Education in the present Decade, Dec 1,

2001, Jodhpur.

23. Mehta S.S. and Dave V. “Identification of type of fault and its pinpoint detection in underground cables using artificial neural network”,

All India seminar on Power systems: “Recent advances and prospects in 21st century”, pp. 241-246,Feb17, 2001, Jaipur.

24. Mehta S.S. and Paliwal P. “An entropic method for detection of QRS-complexes in electrocardiograms”, Proceedings of National

Conference on Information and Communication Technology Scenario for National Development in 21st Century INFOCOMTECH-2000, pp 23-24, April 1998, Jodhpur.

25. Mehta S.S. “Biomedical Engineering and information technology in twenty first century,” National

Conference on Information Technology –Tools and Applications, March 25-26, 1995, Jodhpur.


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26. Mehta S.S. and Bansal V.S.

“Design of decision classifier using pattern recognition technique and its application to character

recognition”, National Conference on New Strategies for Industrial Process Instrumentation and

Control, March 5-7, 1990, Jodhpur.

27. Bansal V.S. and Mehta S.S.

“Computer based recognition of handwritten Devnagari character using possibility theory”, XXIII

Annual Convention of Computer Society of India, pp. 276, Jan 6-9, 1988, Madras.

28. Bansal V.S. and Mehta S.S.

“A fast computer algorithm for recognition of handwritten characters and a measure of their

fuzziness”, I.I.Sc. Platinum Jubilee Conference on Systems and Signal Processing, Dec 1-13,

1986, Bangalore.

29. Mehta S.S., Surana S.L. and Bansal V.S.

“An entropic method of on-line evaluation of power system security”, Fourth National Power

Systems Conference, A3.4.1-A3.4.7, Feb 15-17, 1986, Varanasi.

30. Surana S.L., Mehta S.S. and Bansal V.S.

“Power system security evaluation using statistical pattern recognition technique”, All India

Seminar on Instrumentation and Control of Power Systems, Calcutta, Sept 29 – Oct 1, 1985.

rps_proposal _ss_mehta_mbm_jodhpur.pdf

Documents

diagnosis of ecg

application id

proposed project

collect ecg data

development of ecg analyzer

aqis application number

india council

ongoing research