An endpoint-detection algorithm of surface electromyography insensitive to electrocardiogram interference.
10.7507/1001-5515.201703084
- Author:
Weizhao XU
1
;
Hongqiang MO
2
;
Lianfang TIAN
1
;
Demiao OU
1
Author Information
1. School of Automation Science and Engineering, South China University of Technology, Guangzhou 510641, P.R.China.
2. School of Automation Science and Engineering, South China University of Technology, Guangzhou 510641, P.R.China.hqiangmo@scut.edu.cn.
- Publication Type:Journal Article
- Keywords:
endpoint detection;
short-time energy;
short-time zero-crossing rate;
surface electromyography
- From:
Journal of Biomedical Engineering
2018;35(6):953-958
- CountryChina
- Language:Chinese
-
Abstract:
Surface electromyography (sEMG) has been widely used in the study of clinical medicine, rehabilitation medicine, sports, etc., and its endpoints should be detected accurately before analyzing. However, endpoint detection is vulnerable to electrocardiogram (ECG) interference when the sEMG recorders are placed near the heart. In this paper, an endpoint-detection algorithm which is insensitive to ECG interference is proposed. In the algorithm, endpoints of sEMG are detected based on the short-time energy and short-time zero-crossing rates of sEMG. The thresholds of short-time energy and short-time zero-crossing rate are set according to the statistical difference of short-time zero-crossing rate between sEMG and ECG, and the statistical difference of short-time energy between sEMG and the background noise. Experiment results on the sEMG of rectus abdominis muscle demonstrate that the algorithm detects the endpoints of the sEMG with a high accuracy rate of 95.6%.
