Multiscale wavelet energies and relative energy based denoising of ECG signal

2010 IEEE International Conference on Communication Control and Computing Technologies, ICCCCT 2010

Volumn , Issue , 2010, Pages 491-495

  Sharma, L N ^a   Dandapat, S ^a   Mahanta, A ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY GUWAHATI   (India)

Author keywords

Denoising; Diagnostic distortion measures; ECE; ECG; PRD; WEDD

Indexed keywords

DE-NOISING; DIAGNOSTIC DISTORTION MEASURE; ECE; ECG; PRD; WEDD;

ALGORITHMS; ELECTROCARDIOGRAPHY; ELECTROCHROMIC DEVICES; SPURIOUS SIGNAL NOISE;

NOISE POLLUTION CONTROL;

EID: 78751496378     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCCCT.2010.5670602     Document Type: Conference Paper

References (15)

1. Jones, Shirley A., "ECG Success: Exercises in ECG Interpretation," F A. Davis Company, Philadelphia , ©200S by F. A. Davis Company.
2. A. Lallouani, M. Gabrea and C.S. Gargour, "Wavelet Based Speech Enhancement Using Two Different Threshold-based Denoising Algorithms," CCECE 2004- CCGEI 2004, Niagara Falls, Maylmai 2004 , ©2004 IEEE.
3. Donoho, D., "Nonlinear Wavelet Methods for Recovery of Signals, Densities, and Spectra from Indirect and Noisy Data," Different Perspectives on Wavelets, Proceeding of Symposia in Applied Mathematics, Vol 47, I. Daubechies ed. Amer. Math. Soc., Providence, R.I., 1993, pp. 173-205.
4. D. L. Donoho, De-noising by soft thresholding, IEEE Trans. Inform. Theory, vol. 41, pp. 613-627, May 1995.
5. D. L. Donoho and I. M. Johnstone, Adapting to unknown smoothness via Wavelet shrinkage, J. Amer. Statist. Assoc., vol. 90, pp. 1200-1224, Dec. 1995.
6. James S. Walker, "A primer on WAV ELETS and their Scientific Applications," Chapman and Hall/CRC , ©1999 CRC Press LLC.
7. A Alesanco, S Olmos, R Istepanian, J Garcia, "A Novel Real-time Multilead ECG Compression and Denoising Method based on Wavelet Transform",Computer in Cardiology 2003, 30; pp. 593-596, ©2003 IEEE.
8. Guoyi Fu, Ali Hoijat and Alan Colchester, "Wavelet Noise Reduction Based on Energy Features", Springer-Verlag Berlin Heidelberg 2008.,ICIAR 200S, LNCS 5112, pp. 75-84. 2008.
9. M.S.Manikandan, and S.Dandapat, "Wavelet threshold based ECG compression using USZZQ and Huffman coding of DSM," Journal of Biomedical Signal Processing and Control, Elsevier,vol.1, no.4, pp. 261-270, 2006.
10. M. S. Manikandan, and S. Dandapat, "Wavelet threshold based TDL and TDR algorithms for real-time ECG signal compression," Biomed. Signal Process. Control, Elsevier, vol.3, pp. 44-46,2008.
11. Amjed S. AI-Fahoum,"Quality Assessment of ECG Compression Techniques Using a Wavelet-Based Diagonstic Measure",IEEE Trans. on Information Technology in Biomedicine, vol.10, no.1, pp. 182-191, Jan.2006.
12. M.S.Manikandan, and S.Dandapat, "Wavelet energy based diagnostic distortion measure for ECG," Journal of Biomedical Signal Processing and Control, Elsevier, vol.2, pp. 80-96, 2007.
13. S.G. Miaou, H. L. Yen, and Ch. L. Lin, Wavelet-based ECG compression using dynamic vector quantization with tree code vectors in single codebook, IEEE Trans. Biomed. Eng., vol. 49, no. 7, pp. 671-680, Jul. 2002.
14. Y. Zigel, A. Cohen, A. Katz, "ECG signal compression using analysis by synthesis coding," IEEE Trans.Biomed.Eng., vol.47, no.10, pp. 308-316, Oct. 2000.
15. lain M. Johnstone and Bernard W. Silverman, "Wavelet Threshold Estimators for Data with Correlated Noise," Journal of the Royal Statistical Society. Series B (Methodological), vol. 59, no. 2, pp. 319-351, 1997.