Removal of Artifacts from Electrocardiogram Using Efficient Dead Zone Leaky LMS Adaptive Algorithm

Author:

Gowri T.,Rajesh Kumar P.,Koti Reddy D. V. R.,Rahman Ur Zia

Publisher

Springer India

Reference21 articles.

1. World Health Organization Report.: Preventing chronic diseases a vital investment. World Health Organization, Geneva (2005). http://www.who.int/chp/chronic_disease_report/en/

2. Derya, E.Ü.: Clinical Technologies: Concepts, Methodologies, Tools and Applications. Telemedicine and Biotelemetry for E-Health Systems. IGI Publications, Berlin (2011)

3. McMurray, J.J., Pfeffer, M.A.: Heart failure. Lancet 365(9474), 1877–1889 (2005)

4. Suzanna, M., Martens, M., Mischi, M., Oei, S.G., Bergmans, J.W.M.: An improved adaptive power line interference canceller for electrocardiography. IEEE Trans. Biomed. Eng. 53(11), 2220–2231 (1996)

5. Sayadi, O., Shamsollahi, M.B.: Multiadaptive bionic wavelet transform: application to ECG denoising and baseline wandering reduction. Eurasip J. Adv. Signal Process. 2007 (Article ID 41274), 11 (2007)

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