Artificial proprioceptive feedback for myoelectric control.
Artificial proprioceptive feedback for myoelectric control.
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DOI：
10.1109/tnsre.2014.2355856
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发表时间：
2015-05
期刊：
影响因子：
--
通讯作者：
Nazarpour K
中科院分区：
文献类型：
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作者：
Pistohl T;Joshi D;Ganesh G;Jackson A;Nazarpour K
肌电接口的典型控制，无论是在实验室设置或现实生活中的假肢应用，很大程度上依赖于视觉反馈，因为来自控制肌肉的本体感受信号要么不可用，要么非常嘈杂。我们进行了一组实验，以测试是否人工本体感受反馈，非侵入性地传递到另一个肢体，可以提高控制的二维肌电控制的计算机接口。在这些实验中，参与者被要求用视觉光标到达一个目标，该光标由从左手肌肉记录的肌电图信号控制，同时通过用机器人操纵器移动右臂，为他们提供额外的本体感受反馈。提供额外的人工本体感觉反馈提高了他们的运动的角度精度相比，单独使用视觉反馈，但并没有增加量化与光标和目标之间的平均距离的整体精度。本体感受所赋予的优势，只有当本体感受反馈有类似的方向，在任务空间中的视觉反馈，而不是当它是镜像，展示了一致性的重要性，在多感官整合的反馈方式。我们的研究结果揭示了人类运动系统学习新的肢体间感觉-运动关联的能力;运动系统可以利用与任务相关的感觉反馈，即使它在与被驱动的肢体不同的肢体上可用。此外，所提出的任务结构提供了一个灵活的测试范例，通过它可以评估各种感觉反馈和多感觉集成的肌电假肢控制的有效性。
The typical control of myoelectric interfaces, whether in laboratory settings or real-life prosthetic applications, largely relies on visual feedback because proprioceptive signals from the controlling muscles are either not available or very noisy. We conducted a set of experiments to test whether artificial proprioceptive feedback, delivered non-invasively to another limb, can improve control of a two-dimensional myoelectrically-controlled computer interface. In these experiments, participants’ were required to reach a target with a visual cursor that was controlled by electromyogram signals recorded from muscles of the left hand, while they were provided with an additional proprioceptive feedback on their right arm by moving it with a robotic manipulandum. Provision of additional artificial proprioceptive feedback improved the angular accuracy of their movements when compared to using visual feedback alone but did not increase the overall accuracy quantified with the average distance between the cursor and the target. The advantages conferred by proprioception were present only when the proprioceptive feedback had similar orientation to the visual feedback in the task space and not when it was mirrored, demonstrating the importance of congruency in feedback modalities for multi-sensory integration. Our results reveal the ability of the human motor system to learn new inter-limb sensory-motor associations; the motor system can utilize task-related sensory feedback, even when it is available on a limb distinct from the one being actuated. In addition, the proposed task structure provides a flexible test paradigm by which the effectiveness of various sensory feedback and multi-sensory integration for myoelectric prosthesis control can be evaluated.