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早期机器人干预后偏瘫中风患者双侧步态协调性的重塑

Reshaping of Bilateral Gait Coordination in Hemiparetic Stroke Patients After Early Robotic Intervention.

作者信息

Puentes Sandra, Kadone Hideki, Watanabe Hiroki, Ueno Tomoyuki, Yamazaki Masashi, Sankai Yoshiyuki, Marushima Aiki, Suzuki Kenji

机构信息

Faculty of Engineering, Information and Systems, University of Tsukuba, Tsukuba, Japan.

Center for Innovative Medicine and Engineering, University of Tsukuba Hospital, Tsukuba, Japan.

出版信息

Front Neurosci. 2018 Oct 9;12:719. doi: 10.3389/fnins.2018.00719. eCollection 2018.

Abstract

Hemiparetic gait is a common condition after stroke which alters importantly the quality of life of stroke survivors. In recent years, several robotic interventions have been developed to support and enhance rehabilitation strategies for such population. The Hybrid Assistive Limb (HAL) robot suit is a unique device able to collect in real time bioelectric signals from the patient to support and enhance voluntary gait. HAL has been used before in early stages of stroke showing gait improvement after the intervention. However, evaluation of the coordination of gait has not been done yet. Coordination is a key factor for an adequate gait performance; consequently, its changes may be closely related to gait recovery. In this study, we used planar covariation to evaluate coordination changes in hemiparetic stroke patients after early HAL intervention. Before starting, impaired intersegmental coordination for the paretic and non-paretic side was evident. HAL intervention was able to induce recovery of the covariation loop shape and deviation from the covariation plane improving intersegmental coordination. Also, there was a tendency of recovery for movement range evidenced by comparison of peak elevation angles of each limb segment of the patients before and after HAL intervention, and also when compared to healthy volunteers. Our results suggest that early HAL intervention contributed to the improvement of gait coordination in hemiparetic stroke patients by reinforcing central pattern generators and therefore reshaping their gait pattern. UMIN000022410 2016/05/23.

摘要

偏瘫步态是中风后常见的情况,严重影响中风幸存者的生活质量。近年来,已开发出多种机器人干预手段,以支持和加强针对这类人群的康复策略。混合辅助肢体(HAL)机器人套装是一种独特的设备,能够实时收集患者的生物电信号,以支持和增强自主步态。HAL此前已用于中风早期阶段,显示出干预后步态有所改善。然而,尚未对步态协调性进行评估。协调性是步态表现正常的关键因素;因此,其变化可能与步态恢复密切相关。在本研究中,我们使用平面协变来评估早期HAL干预后偏瘫中风患者的协调性变化。在开始之前,患侧和非患侧的节段间协调性受损明显。HAL干预能够促使协变环形状恢复,并使其偏离协变平面,从而改善节段间协调性。此外,通过比较患者HAL干预前后各肢体节段的峰值仰角,以及与健康志愿者进行比较,发现运动范围有恢复的趋势。我们的结果表明,早期HAL干预通过加强中枢模式发生器,进而重塑步态模式,有助于改善偏瘫中风患者的步态协调性。UMIN000022410 2016/05/23。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0aed/6189332/47e4b599f0de/fnins-12-00719-g001.jpg

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