Evoked Tactile Feedback and Control Scheme on Functional Utility of Prosthetic Hand
Evoked Tactile Feedback and Control Scheme on Functional Utility of Prosthetic Hand
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假手功能效用的诱发触觉反馈与控制方案
DOI：
10.1109/lra.2021.3139147
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发表时间：
2022-04-01
影响因子：
5.2
通讯作者：
Hu, Xiaogang
中科院分区：
文献类型：
--
作者：
Vargas, Luis;Huang, He;Hu, Xiaogang
精细的手动控制依赖于复杂的动作-感知耦合来有效地与对象交互。在这里，我们评估了如何电诱发人工触觉可以集成到假肢手的功能效用。使用不同的肌电控制策略，参与者进行了修改后的盒子和块的任务使用假肢手。采用经皮神经刺激引起反映假肢指尖力的体感指尖触觉反馈。这种反馈是通过沿着参与者的上臂放置的电极网格引起的，目标是正中神经和尺神经束。来自手指屈肌和伸肌的肌电信号控制假体关节的速度或位置。参与者使用他们最小的抓握力举起、握住和运输不同重量的立方体。结果表明，当提供反馈时，参与者施加的力较低，失败的试验次数（过早掉落的物体）较少。我们还发现，位置控制需要更多的屈肌激活速度控制时，触觉反馈。我们的研究结果表明，非侵入性诱发的触觉反馈可用于有效地使人在环控制的假手。这些结果可以提供一个平台来表征假肢控制期间的动作感知耦合，以改善用户体验和系统功能。
Fine manual control relies on intricate action-perception coupling to effectively interact with objects. Here, we evaluated how electrically evoked artificial tactile sensation can be integrated into the functional utility of a prosthetic hand. Using different myoelectric-control strategies, participants performed a modified box-and-block task using a prosthetic hand. Transcutaneous nerve stimulation was employed to elicit somatotopic fingertip tactile feedback reflecting prosthetic fingertip forces. This feedback was evoked using an electrode grid placed along the participants' upper armtargeting the median and ulnar nerve bundles. Myoelectric signals from the finger flexor and extensor controlled the prosthetic joint velocity or position. Participants lifted, held, and transported cubes of varying weights using their minimum grip forces. The results showed that participants exerted lower forces and presented lower number of failed trials (prematurely dropped objects) when feedback was provided with respect to without feedback. We also found that position control required more flexor muscle activation compared with velocity control when tactile feedback was provided. Our findings reveal that non-invasively evoked tactile feedback could be used to effectively enable humanin-the-loop control of a prosthetic hand. The outcomes can provide a platform to characterize the action-perception couplings during prosthetic control, in order to improve user experience and system functionality.