设计体感神经假体的关键考虑

Benoit P. Delhaye, Hannes P. Saal, Sliman J. Bensmaia
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引用次数: 28

摘要

近年来,一个共识已经出现,体感反馈需要提供上肢神经假体是有用的。一种越来越有前景的感觉恢复方法是电刺激体感觉神经轴上的神经元,以传递有关假肢状态和与物体接触的信息。迄今为止,对人工感官反馈的努力主要包括证明一些感官信息可以通过少量刺激模式传递,通常通过单电极传递。尽管这些成就令人印象深刻,但不同研究的结果很难进行比较,因为每个研究团队采用不同的刺激模式,并以不同的方式测试引发的感觉。一个关键的问题是,不同的刺激策略是否可以从人为的实验室环境推广到日常生活活动。在这里,我们列出了人工体感通道应该满足的一些关键规范,讨论了如何评估不同的方法,并警告了感觉恢复领域将面临的迫在眉睫的挑战。
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Key considerations in designing a somatosensory neuroprosthesis

In recent years, a consensus has emerged that somatosensory feedback needs to be provided for upper limb neuroprostheses to be useful. An increasingly promising approach to sensory restoration is to electrically stimulate neurons along the somatosensory neuraxis to convey information about the state of the prosthetic limb and about contact with objects. To date, efforts toward artificial sensory feedback have consisted mainly of demonstrating that some sensory information could be conveyed using a small number of stimulation patterns, generally delivered through single electrodes. However impressive these achievements are, results from different studies are hard to compare, as each research team implements different stimulation patterns and tests the elicited sensations differently. A critical question is whether different stimulation strategies will generalize from contrived laboratory settings to activities of daily living. Here, we lay out some key specifications that an artificial somatosensory channel should meet, discuss how different approaches should be evaluated, and caution about looming challenges that the field of sensory restoration will face.

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来源期刊
Journal of Physiology-Paris
Journal of Physiology-Paris 医学-神经科学
CiteScore
2.02
自引率
0.00%
发文量
0
审稿时长
>12 weeks
期刊介绍: Each issue of the Journal of Physiology (Paris) is specially commissioned, and provides an overview of one important area of neuroscience, delivering review and research papers from leading researchers in that field. The content will interest both those specializing in the experimental study of the brain and those working in interdisciplinary fields linking theory and biological data, including cellular neuroscience, mathematical analysis of brain function, computational neuroscience, biophysics of brain imaging and cognitive psychology.
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