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[利用超声心动图对中风后偏瘫步态中腓肠肌内侧活动进行动态评估]

[Dynamic Estimation of Medial Gastrocnemius Activities in Post-stroke Hemiparetic Gait Using Ultrasonography].

作者信息

Zhang Xudong, Zhong Sheng, Yang Xiaojuan, Zhou Yongjin, Yang Wanzhang, Xiang Yun, Wang Jun, Wang Bihan, Yang Junpeng, Chen Xin

机构信息

School of Biomedical Engineering, Shenzhen University Health Science Center, Shenzhen, 518060.

National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, Guangdong Laboratory for Biomedical Measurements and Ultrasound Imaging, Shenzhen, 518060.

出版信息

Zhongguo Yi Liao Qi Xie Za Zhi. 2017 Mar 30;41(2):92-95. doi: 10.3969/j.issn.1671-7104.2017.02.004.

Abstract

Quantitative evaluation on the level of hemiparesis for post-stroke patients is still challenging. In this study, we proposed an innovative method for investigating in vivo muscle behavior in hemiparetic gait. A wearable data collection platform was developed for the simultaneous acquisition of ultrasonography (US), electromyography (EMG) and joint angle during gait cycles. Using this platform, we studied twelve hemiparetic patients during walking on a treadmill and analyzed the corresponding characteristics of their medial gastrocnemius (GM) muscle. Several interesting outputs are achieved such as the observation that dynamic ranges of the both the pennation angle (PA) of GM and EMG signal from same side were more diffused, for the affected side than for the unaffected side. The results suggested that the proposed multimodal signal acquisition and wearable platform is capable of providing comprehensive in vivo information regarding dynamics of ankle and medial gastrocnemius. The proposed platform could be a promising tool for the assessment of hemiparesis patients.

摘要

对中风后患者偏瘫程度进行定量评估仍然具有挑战性。在本研究中,我们提出了一种创新方法来研究偏瘫步态中的体内肌肉行为。开发了一个可穿戴数据采集平台,用于在步态周期中同时采集超声(US)、肌电图(EMG)和关节角度。利用这个平台,我们研究了12名偏瘫患者在跑步机上行走时的情况,并分析了他们腓肠肌内侧(GM)的相应特征。获得了一些有趣的结果,例如观察到GM羽状角(PA)和同侧EMG信号的动态范围在患侧比在未患侧更分散。结果表明,所提出的多模态信号采集和可穿戴平台能够提供有关踝关节和腓肠肌内侧动力学的全面体内信息。所提出的平台可能是评估偏瘫患者的一个有前途的工具。

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