An approach based on wavelet transform to removal of noises.
- Author:
Chunxiao CHEN
1
;
Jianye LIU
Author Information
1. Department of Biomedical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China.
- Publication Type:Journal Article
- MeSH:
Algorithms;
Electrocardiography;
Humans;
Signal Processing, Computer-Assisted;
Wavelet Analysis
- From:
Journal of Biomedical Engineering
2004;21(1):89-92
- CountryChina
- Language:Chinese
-
Abstract:
The electrocardiac signals exhibit obvious unsteadiness and contain many noises in the processing of detecting. In this paper, a wavelet transform, which can be located in the fields of time and frequency, is introduced to decompose the ECG signals on multi-scales. In characteristic scales, the electrocardiac signals can be decomposed. After removal of various noises, the electrocardiac signals are formed again perfectly. This method provides more accurate ECG data for use in medical diagnosis.
