Bao Shi-Chun, Sun Rui, Tong Raymond Kai-Yu
National Innovation Center for Advanced Medical Devices, Shenzhen 518110, China.
Department of Biomedical Engineering, The Chinese University of Hong Kong, Hong Kong SAR, China.
Entropy (Basel). 2024 Jun 23;26(7):538. doi: 10.3390/e26070538.
This study examines pedaling asymmetry using the electromyogram (EMG) complexity of six bilateral lower limb muscles for chronic stroke survivors. Fifteen unilateral chronic stroke and twelve healthy participants joined passive and volitional recumbent pedaling tasks using a self-modified stationary bike with a constant speed of 25 revolutions per minute. The fuzzy approximate entropy (fApEn) was adopted in EMG complexity estimation. EMG complexity values of stroke participants during pedaling were smaller than those of healthy participants ( = 0.002). For chronic stroke participants, the complexity of paretic limbs was smaller than that of non-paretic limbs during the passive pedaling task ( = 0.005). Additionally, there was a significant correlation between clinical scores and the paretic EMG complexity during passive pedaling ( = 0.022, = 0.028), indicating that the paretic EMG complexity during passive movement might serve as an indicator of stroke motor function status. This study suggests that EMG complexity is an appropriate quantitative tool for measuring neuromuscular characteristics in lower limb dynamic movement tasks for chronic stroke survivors.
本研究使用六块双侧下肢肌肉的肌电图（EMG）复杂度，对慢性中风幸存者的蹬踏不对称性进行了研究。15名单侧慢性中风患者和12名健康参与者使用自行改装的固定自行车，以每分钟25转的恒定速度参与被动和自主卧位蹬踏任务。在EMG复杂度估计中采用了模糊近似熵（fApEn）。中风参与者在蹬踏过程中的EMG复杂度值低于健康参与者（P = 0.002）。对于慢性中风参与者，在被动蹬踏任务期间，患侧肢体的复杂度低于非患侧肢体（P = 0.005）。此外，在被动蹬踏过程中，临床评分与患侧EMG复杂度之间存在显著相关性（P = 0.022，r = 0.028），这表明被动运动期间患侧EMG复杂度可能作为中风运动功能状态的一个指标。本研究表明，EMG复杂度是测量慢性中风幸存者下肢动态运动任务中神经肌肉特征的合适定量工具。
