Wavelet based distortion measurement and enhancement of ECG signal

Author

Awal, Md Abdul ; Ahmad, Mohiuddin ; Daut, I. ; Mid, E.C. ; Rashid, M.A.

Author_Institution

Dept. of Biomed. Eng., Khulna Univ. of Eng. & Technol., Khulna, Bangladesh

fYear

2012

Firstpage

373

Lastpage

378

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.

Keywords

distortion measurement; electrocardiography; medical signal processing; signal denoising; wavelet transforms; Coiflet wavelet; ECG signal distortion measurement; ECG signal enhancement; adaptive functions; cardiac rhythm; noise elimination; output signal-noise ratio; scaling function; scalogram difference factor; soft threshold functions; time scale qualitative distortion measure; wavelet based distortion measurement; 1f noise; Continuous wavelet transforms; Electrocardiography; Noise reduction; Signal to noise ratio; Coiflet wavelet; ECG; SNR improvement; denoising; scalogram difference factor;

fLanguage

English

Publisher

ieee

Conference_Titel

Biomedical Engineering (ICoBE), 2012 International Conference on

Conference_Location

Penang

Print_ISBN

978-1-4577-1990-5

Type

conf

DOI

10.1109/ICoBE.2012.6179041

Filename

6179041