An endpoint-detection algorithm of surface electromyography insensitive to electrocardiogram interference

作者：Xu, Weizhao; Mo, Hongqiang^*; Tian, Lianfang; Ou, Demiao

来源：Journal of Biomedical Engineering, 2018, 35(6): 953-958 and 963.

DOI：10.7507/1001-5515.201703084

• Background noise
• Clinical medicine
• End point detection
• Rehabilitation medicine
• Short-time energy
• Statistical differences
• Surface electromyography
• Zero crossing rate

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 shorttime 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%.

• 出版日期2018-12-25
• 单位华南理工大学