在跑步机步态中跨越障碍时的肌内和肌间连贯性分析。

Lin Wen, Tatsunori Watanabe, Yoshitaka Iwamoto, Yosuke Ishii, Fumiya Miyoshi, Kanako Shiraishi, Shota Date, Ka-Chun Siu, Hikari Kirimoto, Makoto Takahashi
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引用次数: 0

摘要

目的:本研究旨在利用一对肌电图(EMG)信号之间的相干性分析(EMG-EMG 相干性),确定在避开障碍物时共同突触驱动对运动单元的贡献:14名健康志愿者在跑步机上行走,有无障碍物回避。在障碍步态中,受试者被要求在行走时用右腿跨过一个随机出现且不可预测的障碍物。研究人员记录了受试者右腿以下肌肉的表面肌电信号:胫骨前肌近端和远端(TAp 和 TAd)、股二头肌(BF)、半腱肌(ST)、腓肠肌外侧(LG)和腓肠肌内侧(MG)。对 Beta 波段(13-30 Hz)EMG-EMG 相干性进行了分析:结果:与正常步态相比,踏过障碍物时,摆动阶段的 TAp-TAd 和前摆动阶段及初始摆动阶段的 BF-ST 的 Beta 波段 EMG-EMG 相干性均显著升高(均 p p > 0.05):本研究结果表明,在避开障碍物时,踝关节背屈肌和膝关节屈肌运动单元的共同突触驱动增加。结论:本研究结果表明,在避开障碍物时,踝关节背屈肌和膝关节屈肌运动单元的共同突触驱动增加,这也可能反映出大脑皮层对改变步态模式以避开障碍物的贡献增加。
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Intramuscular and intermuscular coherence analysis while obstacle crossing during treadmill gait.

Purpose: This study aimed to identify the contribution of the common synaptic drives to motor units during obstacle avoidance, using coherence analysis between a-pair electromyography (EMG) signals (EMG-EMG coherence).

Materials and methods: Fourteen healthy volunteers walked on a treadmill with and without obstacle avoidance. During obstacle gait, subjects were instructed to step over an obstacle with their right leg while walking that would randomly and unpredictably appear. Surface EMG signals were recorded from the following muscles of the right leg: the proximal and distal ends of tibialis anterior (TAp and TAd), biceps femoris (BF), semitendinosus (ST), lateral gastrocnemius (LG), and medial gastrocnemius (MG). Beta-band (13-30 Hz) EMG-EMG coherence was analysed.

Results: Beta-band EMG-EMG coherence of TAp-TAd during swing phase and BF-ST during pre and initial swing phase when stepping over an obstacle were significantly higher compared to normal gait (both p < 0.05). Beta-band EMG-EMG coherence of TAp-TAd, BF-ST, and LG-MG during stance phase were not significantly different between the two gait conditions (all p > 0.05).

Conclusions: The present findings suggest increased common synaptic drives to motor units in ankle dorsiflexor and knee flexor muscles during obstacle avoidance. It also may reflect an increased cortical contribution to modify the gait patterns to avoid an obstacle.

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