论文信息 - Wavelet based distortion measurement and enhancement of ECG signal

Wavelet based distortion measurement and enhancement of ECG signal

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.

[1] Truong Q. Nguyen,et al. Comparing stress ECG enhancement algorithms , 1996 .

[2] A. Ahmadian,et al. ECG Feature Extraction Based on Multiresolution Wavelet Transform , 2005, 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference.

[3] M. Sabarimalai Manikandan,et al. Wavelet energy based diagnostic distortion measure for ECG , 2007, Biomed. Signal Process. Control..

[4] D. W. Allan,et al. A statistical model of flicker noise , 1966 .

[5] L. Tarassenko,et al. One-pass training of optimal architecture auto-associative neural network for detecting ectopic beats , 2001 .

[6] F. Bereksi-Reguig,et al. Wavelet denoising of the electrocardiogram signal based on the corrupted noise estimation , 2005, Computers in Cardiology, 2005.