Adaptive removal of motion artifact from ECG based on impedance detection.
- Author:
Shaojie LIN
1
;
Lijuan LAI
;
Xiaoming WU
Author Information
1. Department of Biomedical Engineering, South China University of Technology, Guangzhou 510006, China.
- Publication Type:Journal Article
- MeSH:
Algorithms;
Artifacts;
Electric Impedance;
Electrocardiography;
methods;
Humans;
Signal Processing, Computer-Assisted
- From:
Journal of Biomedical Engineering
2010;27(3):529-543
- CountryChina
- Language:Chinese
-
Abstract:
Motion artifact is a significant source of noise in ambulatory physiologic signals and can affect the diagnoses seriously. To cope with this problem, we adopted certain methods for removing motion artifact from ECG signals via synchronous acquisition of the elector/skin impedance as the reference signal of adaptive filter. The results demonstrated that 3rd order RLS adaptive filter can remove the baseline shift effectively with an exciting current of 120 Hz and 50 microA. Such system was implemented to investigate the utility of ambulatory heart rate monitoring, which provides convenient and reliable monitoring services for patients.
