Application on intelligent analysis for ECG signals by adopting wavelet transform

Author

Yong, Zhang ; Sheng, Wang Jie ; Xue-bo, Chen

Author_Institution

Sch. of Electron. & Inf. Eng., AnShan Inst. of I&S. Technol., China

Volume

3

fYear

2002

fDate

2002

Firstpage

2085

Abstract

In the course of collecting ECG signal data, it is inevitable that they are interfused with noise signals, such as electromyographic interference, baseline drift and 50 Hz power line interference, which frequently cause errors in identifying the characteristics of ECG signals to different degrees. This research indicates that the dyadic wavelet transform is a set of band-pass filters taking on a different frequency band in each scale. All kinds of interferences and baseline drift can be commendably restrained by utilizing dyadic wavelet transforms in order to identify exactly the characteristics of ECG signals. The numerical analysis is verified with data collected by ECG monitor and transported by RS-232 asynchronous serial communication.

Keywords

band-pass filters; electrocardiography; electromagnetic interference; identification; medical signal processing; wavelet transforms; ECG signals; band-pass filters; baseline drift; dyadic wavelet transforms; electromyographic interference; intelligent analysis; power line interference; Band pass filters; Electrocardiography; Frequency; Interference; Monitoring; Numerical analysis; Signal analysis; Signal processing; Wavelet analysis; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2002. Proceedings of the 4th World Congress on

Print_ISBN

0-7803-7268-9

Type

conf

DOI

10.1109/WCICA.2002.1021452

Filename

1021452