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混合机器人和电刺激辅助可以提高性能,减少精神需求

Lucille Cazenave, Martin Einenkel, Aaron Yurkewich

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society

|October 10, 2023

概括

将功能电刺激 (FES) 与机器人技术相结合,可以通过提高性能和减少劳动力来增强运动恢复. 这种混合方法可能会导致用户参与度增加,并为中风康复提供更长的培训课程.

科学领域:

神经科学是一个神经科学.
康复工程康复工程
生物力学生物力学

背景情况:

通过结合功能电刺激 (FES) 来获得神经反和机器人来获得运动质量,可以增强中风恢复.
对于FES和机器人辅助对运动恢复的协同效应尚未完全理解.

研究的目的:

调查FES,机器人辅助及其组合对用户性能,精力,疲劳和体验的影响.
确定运动康复任务的最佳辅助策略.

主要方法:

15名健康参与者在四个条件下执行了手腕曲/延伸跟踪任务:没有辅助,只有FES,只有机器人和混合FES-机器人辅助.
电肌图 (EMG) 用于估计肌肉和自愿性努力,总肌肉收缩和意志活动.
美国宇航局任务负载指数 (NASA-TLX) 评估了感知到的心理需求和用户体验.

主要成果:

与没有协助相比,仅使用机器人和混合FES-机器人辅助显著改善了跟踪性能;仅使用FES并没有显著改善.
机器人辅助将总肌肉收缩和意志活动降到最低,而疲劳水平在各种条件下保持一致.
混合动力和仅机器人的条件被认为比仅FES的援助在心理上要求较低.

结论:

混合FES机器人辅助显示出通过提高性能和用户体验来增强运动恢复的希望.
机器人辅助,特别是与FES相结合,可以促进更大的用户参与,并允许在康复环境中延长运动训练时间.

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