Department of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong SAR 999077, China.
Research Institute for Smart Ageing, The Hong Kong Polytechnic University, Hong Kong SAR 999077, China.
Biosensors (Basel). 2022 May 18;12(5):349. doi: 10.3390/bios12050349.
Abnormal muscle tone and muscle weakness are related to gait asymmetry in stroke survivors. However, the internal muscle morphological changes that occur during walking remain unclear. To address this issue, this study investigated the muscle activity of the tibialis anterior (TA) and medial gastrocnemius (MG) of both the paretic and non-paretic sides during walking in nine stroke survivors, by simultaneously capturing electromyography (EMG), mechanomyography (MMG), and ultrasound images, and using a validated novel wearable ultrasound imaging and sensing system. Statistical analysis was performed to examine the test−retest reliability of the collected data, and both the main and interaction effects of each “side” (paretic vs. non-paretic) and “gait” factors, in stroke survivors. This study observed significantly good test−retest reliability in the collected data (0.794 ≤ ICC ≤ 0.985), and significant differences existed in both the side and gait factors of the average TA muscle thickness from ultrasound images, and in the gait factors of TA and MG muscle’s MMG and EMG signals (p < 0.05). The muscle morphological characteristics also appeared to be different between the paretic and non-paretic sides on ultrasound images. This study uncovered significantly different internal muscle contraction patterns between paretic and non-paretic sides during walking for TA (7.2% ± 1.6%) and MG (5.3% ± 4.9%) muscles in stroke survivors.
异常的肌肉张力和肌肉无力与脑卒中幸存者的步态不对称有关。然而,在行走过程中发生的内部肌肉形态变化仍不清楚。为了解决这个问题,本研究通过同时采集肌电图(EMG)、机械肌电图(MMG)和超声图像,并使用经过验证的新型可穿戴超声成像和传感系统,研究了 9 名脑卒中幸存者在行走过程中患侧和非患侧胫骨前肌(TA)和内侧腓肠肌(MG)的肌肉活动。进行了统计分析,以检查所收集数据的测试-重测可靠性,以及每个“侧”(患侧与非患侧)和“步态”因素的主效应和交互效应,在脑卒中幸存者中。本研究观察到所收集数据的测试-重测可靠性非常好(0.794≤ICC≤0.985),并且在超声图像中 TA 肌肉厚度的平均侧和步态因素,以及 TA 和 MG 肌肉的 MMG 和 EMG 信号的步态因素中,都存在显著差异(p<0.05)。肌肉形态特征在超声图像上似乎也在患侧和非患侧之间存在差异。本研究发现,在脑卒中幸存者中,TA(7.2%±1.6%)和 MG(5.3%±4.9%)肌肉的患侧和非患侧之间在行走时的内部肌肉收缩模式存在显著差异。