Wavelet based distortion measurement and enhancement of ECG signal

Abstract

This paper describes the research carried out to eliminate the noise found in ECG signal and cardiac rhythm using Coiflet wavelet since its scaling function is closely related to the shape of ECG and suited for denoising for many applications. Different adaptive and soft threshold functions are used to enhance the ECG signal. The output SNR shows an outstanding performance of 6.2 dB as compared with other methods. In addition to SNR improvement and different statistical tools, a new time-scale qualitative distortion measure named scalogram difference factor is also proposed.