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Probabilistic modeling of selective stimulation of the human sciatic nerve with a flat Interface Nerve Electrode

机译:扁平界面神经电极的人坐骨神经选择性刺激的概率模型

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Proper ankle control is critical to both standing balance and efficient walking. This study hypothesized that a Flat Interface Nerve Electrode (FINE) placed around the sciatic nerve with a fixed number of contacts at predetermined locations and without a priori knowledge of the nerve's underlying neuroanatomy can selectively control each ankle motion. Models of the human sciatic nerve surrounded by a FINE of varying size were created and used to calculate the probability of selective activation of axons within any arbitrarily designated group of fascicles. Simulations suggest that currently available implantable technology cannot selectively recruit each target plantar flexor individually but can restore plantar flexion or dorsiflexion from a site on the sciatic nerve without spillover to antagonists. Successful activation of individual ankle muscles in 90% of the population can be achieved by utilizing bipolar stimulation and/or by increasing the number of contacts within the cuff.
机译:适当的脚踝控制对于站立平衡和高效行走至关重要。这项研究假设在预定位置处的固定数量的触点围绕着坐骨神经围绕着坐骨神经的扁平界面神经电极(细)可以选择性地控制每个脚踝运动,而没有先知的神经底层的神经内部的触点。由诸如不同大小的良好围绕的人坐骨神经的模型进行,并用于计算任何任意指定的束组合中轴突的选择性激活的可能性。模拟表明,目前可用的植入技术不能单独选择性地招募每个靶门跖屈曲,但可以从坐骨神经上的部位恢复跖屈肌或背离,而不会溢出到拮抗剂。通过利用双极刺激和/或增加袖带内的接触数,可以实现90%人口中单个踝关节肌肉的成功激活。

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