Affiliation:
1. Maharaja Institute of Technology, Thandavapura, India
2. Defence Research and Development Organization, New Delhi, India
Abstract
An ECG is a biomedical non-stationary signal, which contains valuable information about the electrical activity of the heart. The ECG is very sensitive and a weak signal, hence, it gets corrupted by various types of noise such as power line interference, baseline wander, motion artifacts, muscle contractions, electrode contact noise, etc., that may lead to a misdiagnosis. Among these noise parameters the power line interference is very crucial because noise falls in the ECG bandwidth, i.e. 0.05 Hz to 100 Hz. The article proposes the removal of power line interference (PLI) noise in an ECG signal based on discrete wavelet transform (DWT) and adaptive filtering techniques. The results are compared with the existing notch filter both in time and frequency domain by filter performance parameters like ESD, MSE %PSD and SNR.
Subject
Psychiatry and Mental health,Health Policy,Neuropsychology and Physiological Psychology
Reference30 articles.
1. ECG signal denoising by wavelet transform thresholding.;M.Alfaouri;American Journal of Applied Sciences,2008
2. Harvard. (n.d.). Arrhythmia Database. Retrieved from physionet.caregroup.harvard.edu/physiobank/database/mitdb/
3. Bai, Y. W., Chu, W. Y., Chen, C. Y., Lee, Y. T., Tsai, Y. C., & Tsai, C. H. (2004, May). Adjustable 60Hz noise reduction by a notch filter for ECG signals. In Proceedings of the 21st IEEE Instrumentation and Measurement Technology Conference IMTC 04 (Vol. 3, pp. 1706-1711). IEEE.
4. Behbahani, S. (2007, August). Investigation of Adaptive Filtering for Noise Cancellation in ECG signals. In Second International Multi-Symposiums on Computer and Computational Sciences IMSCCS 2007 (pp. 144-149). IEEE.
5. Butt, M., Razzaq, N., Sadiq, I., Salman, M., & Zaidi, T. (2013). Power Line Interference Removal from ECG Signal using SSRLS Algorithm. In 9th International Colloquium on Signal Processing and its Application. IEEE.
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