Tan Chun Kwang, Kadone Hideki, Watanabe Hiroki, Marushima Aiki, Yamazaki Masashi, Sankai Yoshiyuki, Suzuki Kenji
Artificial Intelligence Laboratory, University of Tsukuba, Tsukuba, Japan.
Center for Innovative Medicine and Engineering, University of Tsukuba Hospital, Tsukuba, Japan.
Front Neurosci. 2018 Apr 25;12:276. doi: 10.3389/fnins.2018.00276. eCollection 2018.
Gait disturbance is commonly associated with stroke, which is a serious neurological disease. With current technology, various exoskeletons have been developed to provide therapy, leading to many studies evaluating the use of such exoskeletons as an intervention tool. Although these studies report improvements in patients who had undergone robotic intervention, they are usually reported with clinical assessment, which are unable to characterize how muscle activations change in patients after robotic intervention. We believe that muscle activations can provide an objective view on gait performance of patients. To quantify improvement of lateral symmetry before and after robotic intervention, muscle synergy analysis with Non-Negative Matrix Factorization was used to evaluate patients' EMG data. Eight stroke patients in their acute phase were evaluated before and after a course of robotic intervention with the Hybrid Assistive Limb (HAL), lasting over 3 weeks. We found a significant increase in similarity between lateral synergies of patients after robotic intervention. This is associated with significant improvements in gait measures like walking speed, step cadence, stance duration percentage of gait cycle. Clinical assessments [Functional Independence Measure-Locomotion (FIM-Locomotion), FIM-Motor (General), and Fugl-Meyer Assessment-Lower Extremity (FMA-LE)] showed significant improvements as well. Our study shows that muscle synergy analysis can be a good tool to quantify the change in neuromuscular coordination of lateral symmetry during walking in stroke patients.
步态障碍通常与中风有关,中风是一种严重的神经疾病。随着当前技术的发展,已开发出各种外骨骼用于提供治疗,这引发了许多评估此类外骨骼作为干预工具使用情况的研究。尽管这些研究报告了接受机器人干预的患者有所改善,但通常是通过临床评估来报告的,而临床评估无法描述机器人干预后患者肌肉激活是如何变化的。我们认为肌肉激活可以为患者的步态表现提供客观的视角。为了量化机器人干预前后侧向对称性的改善情况,我们使用非负矩阵分解的肌肉协同分析来评估患者的肌电图数据。对8名急性期中风患者在接受为期3周以上的混合辅助肢体(HAL)机器人干预疗程前后进行了评估。我们发现机器人干预后患者侧向协同之间的相似性显著增加。这与步态指标如步行速度、步频、步态周期中站立持续时间百分比的显著改善相关。临床评估[功能独立性测量-运动(FIM-运动)、FIM-运动(一般)和Fugl-Meyer评估-下肢(FMA-LE)]也显示出显著改善。我们的研究表明,肌肉协同分析可以成为量化中风患者行走过程中侧向对称性神经肌肉协调变化的良好工具。