通过皮质内控制的功能性神经肌肉刺激实现手部的实时控制

E. Pohlmeyer, E. Perreault, M. Slutzky, K. Kilgore, R. Kirsch, D. Taylor, L. Miller
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引用次数: 15

摘要

本研究的目的是建立一种动物模型,以评估脑机接口(BMI)对通过功能性神经肌肉刺激(FNS)恢复手部功能的神经假体的控制效果。我们已经在一只灵长类动物身上实施了该系统,它的肢体可以通过可逆的周围神经阻滞暂时瘫痪,从完整的猴子身上的100个电极阵列中获得初级运动皮层的记录,并用于预测各种手腕和手部肌肉的活动。这些预测是实时计算的,并作为4通道神经肌肉刺激器的输入,用于电激活瘫痪的肌肉。在这里,我们证明BMI可以用来恢复肌肉麻痹后腕屈曲的自主控制。
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Real-Time Control of the Hand by Intracortically Controlled Functional Neuromuscular Stimulation
The purpose of this study was to develop an animal model to evaluate the efficacy of a brain machine interface (BMI) to control a neuroprosthesis intended to restore hand function via functional neuromuscular stimulation (FNS). We have implemented the system in a single primate, whose limb could be temporarily paralyzed by a reversible peripheral nerve block Recordings from the primary motor cortex were obtained from a 100-electrode array in the intact monkey, and used to predict the activity of a variety of wrist and hand muscles. These predictions were calculated in real-time, and used as inputs to a 4 channel neuromuscular stimulator for electrically activating the paralyzed muscles. Here we demonstrate that the BMI can be used to restore voluntary control of wrist flexion following muscle paralysis.
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