Author : V. Supraja 1
Date of Publication :8th March 2017
Abstract: The presence of noise in an ECG trace complicates the identification analysis. Due to noise the quality of ECG signal is degrades. So the removal of noise is elaborated due to time varying nature of ECG signal. The ECG is widely used for diagnosis and analysis of heart diseases, so a good quality of ECG signal is required. In this article various types of noises corrupting ECG signal and various techniques based on Wavelet Transform, Fuzzy logic , FIR filtering , Empirical Mode Decomposition used in denoising the signal efficiently are presented in this paper. The results are comparing the performances of different denoising techniques based on related parameters are inserted.
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