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Updated: Jan 25, 2026

Engineering Platform and Experimental Protocol for Design and Evaluation of a Neurally-controlled Powered Transfemoral Prosthesis
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通过增量学习,对3-DoFs假肢的协同适应速度和位置控制

Dario Di Domenico, Fabio Egle, Andrea Marinelli

    IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
    |January 23, 2026
    PubMed
    概括

    与位置控制相比,基于速度的假肢控制可以提高上肢假肢的性能和用户满意度. 这种肌肉控制策略提供了更低的错误和工作量,改善了用户的假肢运动.

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