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混合机器人和电刺激辅助可以提高性能并降低心理需求。

Hybrid Robotic and Electrical Stimulation Assistance Can Enhance Performance and Reduce Mental Demand.

出版信息

IEEE Trans Neural Syst Rehabil Eng. 2023;31:4063-4072. doi: 10.1109/TNSRE.2023.3323370. Epub 2023 Oct 20.

Abstract

Combining functional electrical stimulation (FES) and robotics may enhance recovery after stroke, by providing neural feedback with the former while improving quality of motion and minimizing muscular fatigue with the latter. Here, we explored whether and how FES, robot assistance and their combination, affect users' performance, effort, fatigue and user experience. 15 healthy participants performed a wrist flexion/extension tracking task with FES and/or robotic assistance. Tracking performance improved during the hybrid FES-robot and the robot-only assistance conditions in comparison to no assistance, but no improvement is observed when only FES is used. Fatigue, muscular and voluntary effort are estimated from electromyographic recording. Total muscle contraction and volitional activity are lowest with robotic assistance, whereas fatigue level do not change between the conditions. The NASA-Task Load Index answers indicate that participants found the task less mentally demanding during the hybrid and robot conditions than the FES condition. The addition of robotic assistance to FES training might thus facilitate an increased user engagement compared to robot training and allow longer motor training session than with FES assistance.

摘要

结合功能性电刺激(FES)和机器人技术可能会通过前者提供神经反馈,通过后者改善运动质量并最小化肌肉疲劳,从而促进中风后的恢复。在这里,我们探讨了 FES、机器人辅助及其组合是否以及如何影响用户的表现、努力程度、疲劳和用户体验。15 名健康参与者使用 FES 和/或机器人辅助进行腕部屈伸跟踪任务。与无辅助相比,混合 FES-机器人和仅机器人辅助条件下的跟踪性能有所提高,但仅使用 FES 时则没有改善。从肌电图记录中估计疲劳、肌肉和自愿用力。机器人辅助时总肌肉收缩和随意活动最低,而疲劳程度在不同条件之间没有变化。NASA 任务负荷指数回答表明,与 FES 条件相比,参与者在混合和机器人条件下认为任务的精神需求较低。与机器人训练相比,将机器人辅助添加到 FES 训练中可能会增加用户的参与度,并允许进行比 FES 辅助更长的运动训练课程。

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