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DOI 10.1109/tnsre.2023.3323370

Медицинская библиотека · IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2023

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

Cazenave Lucille, Einenkel Martin, Yurkewich Aaron, Endo Satoshi, Hirche Sandra, Burdet Etienne

СтатьяПоддержка исследования: вне правительства СШАПеревод в очереди

Аннотация

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.

Для цитирования: Cazenave Lucille, Einenkel Martin, Yurkewich Aaron, Endo Satoshi, Hirche Sandra, Burdet Etienne. Hybrid Robotic and Electrical Stimulation Assistance Can Enhance Performance and Reduce Mental Demand.. IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society. 2023. DOI: 10.1109/tnsre.2023.3323370.

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