期刊
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS
卷 17, 期 2, 页码 470-476出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JBHI.2013.2241071
关键词
Motor unit action potential; multiscale entropy; spontaneous muscle activity; surface electromyography
类别
资金
- National Institute on Disability and Rehabilitation Research of the U.S. Department of Education [H133G090093]
- National Institutes of Health of the U.S. Department of Health and Human Services [R21NS075463, R24HD050821]
- National Natural Science Foundation of China [81271658]
- 1000 Talent Plan Special Program of China (Recruitment Program of Global Experts)
This study explores a novel application of multiscale entropy (MSE) analysis for characterizing different patterns of spontaneous electromyogram (EMG) signals including sporadic, tonic and repetitive spontaneous motor unit discharges, and normal surface EMG baseline. Two algorithms for MSE analysis, namely, the standard MSE and the intrinsic mode entropy (IMEn) (based on the recently developed multivariate empirical mode decomposition method), were applied to different patterns of spontaneous EMG. Significant differences were observed in multiple scales of the standard MSE and IMEn analyses (p < 0.001) for any two of the spontaneous EMG patterns, while such significance may not be observed from the single-scale entropy analysis. Compared to the standard MSE, the IMEn analysis facilitates usage of a relatively low scale number to discern entropy difference among various patterns of spontaneous EMG signals. The findings from this study contribute to our understanding of the nonlinear dynamic properties of different spontaneous EMG patterns, which may be related to spinal motoneuron or motor unit health.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据