The application of adaptive algorithm and wavelet transform in the filtering of ECG signal.
- Author:
Jingzhou ZHANG
1
;
Guanglei ZHANG
;
Guanzhong DAI
Author Information
1. College of Automation, North Western Polytechnical University, Xi'an 710072, China.
- Publication Type:Journal Article
- MeSH:
Algorithms;
Electrocardiography;
Fourier Analysis;
Humans;
Signal Processing, Computer-Assisted;
instrumentation;
Stochastic Processes;
Time Factors
- From:
Journal of Biomedical Engineering
2006;23(5):977-980
- CountryChina
- Language:Chinese
-
Abstract:
Electrocardiographic (ECG) signal are a kind of basic physiological signals of human body, and are very important in clinical diagnosis. But the ECG signals from body surface are often interfered by noises such as 50 Hz noise, baseline displacemant, electromyography (EMG) noise and edv. These noises bring obstacle to the diagnosis of cardiovascular diseases. To eliminate the ECG signals noises mentioned above,this paper adopts LMS adaptive algorithm and wavelet transform theory to design three kinds of digital adaptive filters-adaptive noise cancellation filter, wavelet transform filter and adaptive signal dividing filter to filter the corresponding noises. The results show that the three kinds of noises existing in the ECG signal have been efficiently eliminated.
