Abstract
Noise always degrades the quality of ECG signal. ECG noise removal is complicated due to time varying nature of ECG signal. As the ECG signal is used for the primary diagnosis and analysis of heart diseases, a good quality of ECG signal is necessary. A survey of various types of noises corrupting ECG signal and various approaches based on Wavelet Transform, Fuzzy logic, FIR filtering, Empirical Mode Decomposition used in denoising the signal effectively are presented in this paper. The result tables comparing the performances of various denoising techniques based on related parameters are included.
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