Biomimetic sensory feedback through peripheral nerve stimulation improves dexterous use of a bionic hand

Biomimetic sensory feedback through peripheral nerve stimulation improves dexterous use of a bionic hand
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DOI:
10.1126/scirobotics.aax2352
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发表时间:
2019-07-31
期刊:
影响因子:
25
通讯作者:
Clark, G. A.
Clark, G. A.
中科院分区:
计算机科学1区
文献类型:
--
作者:
George, J. A.;Kluger, D. T.;Clark, G. A.

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我们描述了双向神经肌电假手的使用,它传达了仿生感觉反馈。来自残留手臂肌肉的肌电记录被解码,以提供对六自由度假手和手腕--DEKA Luke手臂--的独立和比例控制。假体上接触传感器的激活导致通过长期植入的犹他州倾斜电极阵列在神经内微刺激残留的感觉神经纤维,从而在幻觉手上唤起触觉知觉。启用感官反馈后,参与者在握力方面表现出更高的精确度,并且能够更好地处理易碎物品。通过积极的探索,参与者还能够区分大小物体和软硬物体。当感觉反馈是仿生的--旨在模仿自然感觉信号--参与者能够比使用仅依赖当前刺激强度的传统编码算法识别对象的速度快得多。因此,人工触摸可以通过对感觉反馈进行模式化来塑造,而受生物启发的模式可以产生更多可解释和有用的感知。
We describe use of a bidirectional neuromyoelectric prosthetic hand that conveys biomimetic sensory feedback. Electromyographic recordings from residual arm muscles were decoded to provide independent and proportional control of a six-DOF prosthetic hand and wrist-the DEKA LUKE arm. Activation of contact sensors on the prosthesis resulted in intraneural microstimulation of residual sensory nerve fibers through chronically implanted Utah Slanted Electrode Arrays, thereby evoking tactile percepts on the phantom hand. With sensory feedback enabled, the participant exhibited greater precision in grip force and was better able to handle fragile objects. With active exploration, the participant was also able to distinguish between small and large objects and between soft and hard ones. When the sensory feedback was biomimetic-designed to mimic natural sensory signals-the participant was able to identify the objects significantly faster than with the use of traditional encoding algorithms that depended on only the present stimulus intensity. Thus, artificial touch can be sculpted by patterning the sensory feedback, and biologically inspired patterns elicit more interpretable and useful percepts.