耦合强度
肌电图
联轴节(管道)
脑电图
传递熵
熵(时间箭头)
物理医学与康复
医学
计算机科学
模式识别(心理学)
物理
人工智能
材料科学
神经科学
心理学
最大熵原理
量子力学
冶金
凝聚态物理
作者
Xugang Xi,Jinsuo Ding,Junhong Wang,Yun‐Bo Zhao,Ting Wang,Wanzeng Kong,Jingqi Li
出处
期刊:IEEE Journal of Biomedical and Health Informatics
[Institute of Electrical and Electronics Engineers]
日期:2022-10-01
卷期号:26 (10): 5085-5096
被引量:10
标识
DOI:10.1109/jbhi.2022.3193984
摘要
Functional corticomuscular coupling (FCMC) between the cerebral motor cortex and muscle activity reflects multi-layer and nonlinear interactions in the sensorimotor system. Considering the inherent multiscale characteristics of physiological signals, we proposed multiscale transfer spectral entropy (MSTSE) and introduced the unidirectionally coupled Hénon maps model to verify the effectiveness of MSTSE. We recorded electroencephalogram (EEG) and surface electromyography (sEMG) in steady-state grip tasks of 29 healthy participants and 27 patients. Then, we used MSTSE to analyze the FCMC base on EEG of the bilateral motor areas and the sEMG of the flexor digitorum superficialis (FDS). The results show that MSTSE is superior to transfer spectral entropy (TSE) method in restraining the spurious coupling and detecting the coupling more accurately. The coupling strength was higher in the β1, β2, and γ2 bands, among which, it was highest in the β1 band, and reached its maximum at the 22-30 scale. On the directional characteristics of FCMC, the coupling strength of EEG→sEMG is superior to the opposite direction in most cases. In addition, the coupling strength of the stroke-affected side was lower than that of healthy controls' right hand in the β1 and β2 bands and the stroke-unaffected side in the β1 band. The coupling strength of the stroke-affected side was higher than that of the stroke-unaffected side and the right hand of healthy controls in the sEMG→EEG direction of γ2 band. This study provides a new perspective and lays a foundation for analyzing FCMC and motor dysfunction.
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