Title :
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
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;
Conference_Titel :
Intelligent Control and Automation, 2002. Proceedings of the 4th World Congress on
Print_ISBN :
0-7803-7268-9
DOI :
10.1109/WCICA.2002.1021452
