Research on non-contacting ECG measurement and filtering method.
- Author:
Baohua LIU
1
;
Long ZHEN
;
Pengfei HU
Author Information
1. College of Mechanical Engineering, Yanshan University, Qinhuangdao 066004, China. liubaohua@ysu.edu.cn
- Publication Type:Journal Article
- MeSH:
Algorithms;
Artifacts;
Electrocardiography;
methods;
Humans;
Principal Component Analysis;
Signal Processing, Computer-Assisted;
instrumentation
- From:
Journal of Biomedical Engineering
2013;30(3):499-502
- CountryChina
- Language:Chinese
-
Abstract:
Non-contact measurement is an effective method of long time measurement of human electrocardiograph (ECG) signal. Because the relative position between measuring electrode and human body is not fixed, this method could result in constant changes of ECG signal collection. It often appears ECG signal distorting and weakened in filtering. This paper, using the principal component analysis (PCA) basic theory, proposes a fast adaptive PCA denoising algorithm which can automatically adjust the parameters according to the changes of ECG signal. The experiment proved that PCA denoising could be barely impacted by signal changes and can disposably remove interference signal on the premise of keeping the main features of ECG signal and can prevent ECG signal from being weakened in filtering at the same time.
