通过触电刺激恢复手指特定触觉的感觉软神经假肢手

Soft science Pub Date : 2022-01-01 DOI:10.20517/ss.2022.17
Haipeng Xu, G. Chai, Ningbin Zhang, G. Gu
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引用次数: 4

摘要

触觉反馈对于截肢者提高假手的可控性和获取交互物体的触觉信息具有重要意义,这是神经假手面临的一个重大挑战。在这项研究中,我们提出了一种通过电触觉刺激在单侧前臂截肢者的手指投影图上恢复手指特异性触觉的方法。在此基础上,首先采用5个嵌入指尖的软触传感器来测量软神经假手与被触物体之间的压力变化。测量的压力信息随后被相应地编码到电触觉刺激模式中,以触发一个电刺激器,该电刺激器在截肢者的投影手指图上输出可编程的电脉冲。这样可以引出手指的触觉,帮助截肢者区分手指按压状态,辨别被触摸物体的曲率和硬度。实验结果表明,基于不同的刺激区域,截肢者可以瞬间区分单指和多指的触觉,准确率分别为98.57%和91.71%。通过对电脉冲频率进行编程,截肢者能够成功识别不同曲率和硬度的触摸物体,准确率分别为97.26%和97.93%。最后,我们证明了截肢者可以通过集成肌电控制接口和电触觉反馈来实现感觉软神经假手的闭环控制,从而实现多层次的感知。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Restoring finger-specific tactile sensations with a sensory soft neuroprosthetic hand through electrotactile stimulation
Tactile feedback is of great significance for amputees to improve the controllability of prosthetic hands and obtain tactile information regarding the interacting objects, which remains a significant challenge for neuroprosthetic hands. In this study, we present a method to restore finger-specific tactile sensations on the projected finger map of a unilateral forearm amputee with a sensory soft neuroprosthetic hand through electrotactile stimulation. On this basis, five soft touch sensors embedded in the fingertips are first adopted to measure the pressure changes of the soft neuroprosthetic hand with the touched objects. The measured pressure information is then accordingly encoded into electrotactile stimulation patterns to trigger an electrical stimulator that outputs programmable electrical pulses on the projected finger map of the amputee. In this manner, the finger tactile sensation can be elicited, which can help the amputee to distinguish the finger press state and discriminate the curvature and hardness of the touched objects. Experimental results show that, based on the different stimulation regions, the amputee subject can instantaneously distinguish the tactile sensation of a single finger or multiple fingers with an accuracy of 98.57% and 91.71%, respectively. By programming the frequencies of the electrical pulses, the amputee subject can successfully discriminate the touching objects with different curvatures and hardnesses with an accuracy of 97.26% and 97.93%, respectively. Finally, we demonstrate that the amputee subject can achieve closed-loop control of the sensory soft neuroprosthetic hand by integrating a myoelectric control interface and electrotactile feedback to achieve multilevel perception.
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