Bio Signal Processing

S.No
International Journal - Research Title
1

Kumaravel, N., Senthil,A., Sridhar, K.S., Nithiyanandam, N. (1995),  'Integrating the      ECG powerline interference removal methods with rule-based system',Biomed.Sci.Instrum.,1995, Vol-31,  pp 115-120.

2

N.Kumaravel and et.al (1998).,'ECG compression and Recognition using complete tree        representation.' Biomed.     Sci. Instrum.,1998, Vol-34,  pp 113-118.

3
Poornachandra and N.Kumaravel (2003), ‘A wavelet co-efficient smoothened RLS Adaptive  denoising model for ECG’, Biomed. Sci. Instrumentation,Vol-39, April 2003,pp155-157.
4

S.Poornachandra and N.Kumaravel, (2005), ‘Hyper-trim shrinkage for denoising of ECG signal’,   Elsevier Journal on Digital Signal Processing, Volume 15, Issue 3, 1 May 2005, PP 317-327

5

 Poornachandra S and  N. Kumaravel. and, “Subband-Adaptive Shrinkage for Denoising of
 ECG Signals”, EURASIP Journal on Applied Signal Processing Volume 2006 (2006), Article
 ID 81236, 9 pages

6

Poornachandra S.and, N. Kumaravel  “Statistical Estimation for Hyper Shrinkage”, Journal of Digital Signal Processing, Vol. 17, Issue-2, pp. 485-494, March 2007.

7

Poornachandra and Kumaravel.N, ‘A novel method for the elimination of power line frequency in ECG signal using hyper shrinkage function’ Elsevier Journal on Digital Signal Processing,  18(2008), PP 116-126

8

Santhi C and Kumaravel N “Application of Volatility models on Heart variability” Journal of Advanced Research in Computer engineering Vol 3 No 1 pp 115-119 January-June 2009.

9

Santhi C and Kumaravel N “Heart Rate Variability analtsis” International Journal of Mocro and Nano Electronics, Circuits and Systems Vol 1 No 2 pp 55-60, 2009

10

Santhi, C and Kumaravel N ‘Nonlinear filters for preprocessing Heart variability signals” International Journal of Computer Science and Network Security, Vol 10 No 8 pp 250-254, August 2010

11

 Santhi C and Kumaravel N “ Empirical mode decomposition analysis of heart rate variability” International Journal of Computer Science and Information Security, vol 8 No 6 pp 255-258 Septmber 2010

12

 Santhi C and Kumaravel N”HRV analysis in Different age and pathological Conditiond” Journal of Computer Science Science Publications 2011


S.No
International Conference - Research Title
1

Kumaravel,N., Sridhar,K. (1994) , ' Knowledge based Biosignal Processing System  for    diagnosing Heart Disorders ' , International Conference on Robotics, Vision and    Parallel  processing for Industrial automation , Ipoh, Malaysia, pp 602-609.

2

Poornachandra and N.Kumaravel  (2002), ‘A new Wavelet co-efficient smoothened adaptive   denoising model for biological signal’, ICMBE, 4-7th, Dec 2002, Singapore.

3

Poornachandra and .N.Kumaravel (2003) , ‘A Wavelet co-efficient smoothened RLS adaptive denoising model for ECG’, NSIP, 8th-11th June 2003, Italy.

4

 Poornachandra, N.Kumaravel, and K.P.Karthikeyan(2004),”An efficient algorithm for noise   elimination using B-spline in wavelet domain”. BIOSIGNAL 2004, 17th International     EURASIP conference, 23-25th June 2004, Brno, Czech Republic.

5

Santhi C and Kumaravel N “ Statistical self-similarity of heart rate variability “ Proceedings of International Conference on Signal Processing and Communications (IEEE SPCOM 2004) IISc, Bangalore.

6

Santhi C and Kumaravel N “ Non-linear analysis of Cardiac Autonomic Nervous Activity using Principal Dynamic fluctuation analysis” Proceedings of International Conference on Signal Processing and Communications(IEEE INDICON 2005) IIT  Chennai.

7

S.Poornachandra , N.Kumaravel, and et.al, ‘Wave Shrink Using Modified Hyper-Shrinkage Function’ 27th annual International conference of the IEEE –EMBS, September 1-4,   2005, Shanghai

8

S. Poornachandra ,N. Kumaravel,. and V. Bhavani    ‘A Novel Method for the Elimination of   Power Line Frequency in ECG Signals Using Modified-Hyper Shrinkage’ ,12th International   Conference on Biomedical Engineering 7 – 10 December 2005 Suntec Singapore  International Convention & Exhibition Centre, Singapore

9

 Shanthi, C  and Kumaravel, N.;. Non-linear Analysis of Cardiac Autonomic Nervous Activity using Principal Dynamic Fluctuation Analysis, INDICON, 2005 Annual IEEE Volume ,    Issue , 11-13 Dec. 2005 Page(s): 208 – 211

10

 Poornachandra, Dr. N. Kumaravel et al, “An improved analysis on Denoising using B-spline with adaptation” Proc. of International multiconference in computer science and computer engineering, 21st – 24th June, 2004, Las Vegas, Nevada, USA

11

Santhi C and Kumaravel N  “Time Domain Scale Filtering of Heart Rate Variability” Proceddinds of International Conference on Electronic Design and Signal Processing and Communications (IEEE ICEDSP 2009) MIT, Manipal


S.No
National Journal - Research Title
1

N.Kumaravel and et.al(2002).,’Analysis of Profile of Auto antibodies in systemic Lupus  Erithematosis using Data Mining Techniques’, Journal of Indian Rheumatology  Association, Vol.10, supplementary 1, November 2002, ISSN 0971-5045.

2

 Poornachandra,  N.Kumaravel, and V.Ravichandran(2003), ‘Mapping of DCT and DST based     on   symmetries’, IETE Journal of Research, Vol 49, No1, Jan-Feb,2003 pp 35-42.

3

 N. Kumaravel and Poornachandra S., “Wavelet based Adaptive Denoising Models for Biological Signals”,Journal of Institution of Engineers, Vol. 86, November 2005

4

N. Kumaravel and Poornachandra S.  , “Wavelet Thresholding by a-Trim Mean Filter”, Journal of Institute of Engineers, Vol. 87, January 2007.

5

M. Suchetha and N. Kumaravel1  Empirical Mode Decomposition‑based Subtraction Techniques for 50 Hz Interference Reduction from Electrocardiogram


S.No
National Conference - Research Title
1

Poornachandra  and N.Kumaravel  (2003),’ Wavelet co-efficient smoothened LMS Adaptive    denoising   model for ECE’, NCC-2003, 31st Jan-2nd Feb 2003,IIT,Chennai.

2

Poornachandra  , N.Kumaravel. and K.P.Karthikeyan(2004), ‘Denoising of ECG by µ -trim    thresholding of wavelet coefficients”’ NCC 2004, 31st-2nd, Jan-Feb,2004, IISc, India

3

 C.Shanthi  and N.Kumaravel, (2004), ‘The Statistical self-similarity of heart-rate variability’    SPCOM -2004, IISC , Bangalore.

4

N.Kumaravel, S.Suresh, ‘Denoising of ECG Signals Using Wavelet shrinkage’ NCSSS -2006, Feb 24-25, 2006, BAIT, Sathiyamangalam.