Performance Study of Different Denoising Methods for ECG Signals-Reference-Cited by-同舟云学术

Performance Study of Different Denoising Methods for ECG Signals

Published:2014 Issue: Volume:37 Page:325-332
ISSN:1877-0509
Container-title:Procedia Computer Science
language:en
Short-container-title:Procedia Computer Science

Author:

AlMahamdy Mohammed,Riley H. Bryan

Publisher

Elsevier BV

Subject

General Engineering

Reference26 articles.

1. N. V Thakor and Y. S. Zhu, “Applications of adaptive filtering to ECG analysis: noise cancellation and arrhythmia detection.,” IEEE Trans. Biomed. Eng., vol. 38, no. 8, pp. 785-94, Aug. 1991.

2. B. Arvinti, M. Costache, D. Toader, M. Oltean, and A. Isar, “ECG statistical denoising in the wavelet domain,” in 2010 9th International Symposium on Electronics and Telecommunications, IEEE, 2010, pp. 307-310.

3. K. Daqrouq and A.-R. Al-Qawasmi, “ECG Enhancement using Wavelet Transform,” WSEAS Trans. Biol. Biomed., vol. 7, no. 2, pp. 62-72, 2010.

4. V. Prasad, T.S. Latha, and M. Suresh, “Denoising of Biological Signals using Wavelets,” Int. J. Curr. Eng. Technol., vol. 3, no. 3, pp. 863-866, 2013.

5. G. Georgieva-Tsaneva and K. Tcheshmedjiev, “Denoising of Electrocardiogram Data with Methods of Wavelet Transform,” in International Conference on Computer Systems and Technologies, 2013, pp. 9-16.

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