Probabilistic modeling of selective stimulation of the human sciatic nerve with a flat interface nerve electrode.

Probabilistic modeling of selective stimulation of the human sciatic nerve with a flat interface nerve electrode.
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DOI:
10.1007/s10827-011-0381-5
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发表时间:
2012-08
影响因子:
1.2
通讯作者:
Triolo, Ronald J.
Triolo, Ronald J.
中科院分区:
医学4区
文献类型:
--
作者:
Schiefer, Matthew A.;Tyler, Dustin J.;Triolo, Ronald J.

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踝关节控制对于站立平衡和有效行走都至关重要。本文提出的假设是,放置在坐骨神经周围的平面界面神经电极(FINE)在预定位置具有固定数量的触点,并且没有神经基础神经解剖学的先验知识,可以选择性地控制每个踝关节运动。创建由不同大小的FINE包围的人坐骨神经模型,并用于计算任意指定的连续束组内轴突选择性激活的概率。模拟支持这一假设,并表明,目前可用的植入式技术不能选择性地招募每个目标跖屈肌单独,但可以恢复跖屈或背屈从坐骨神经上的一个网站没有溢出到拮抗剂。通过使用双极刺激和/或通过使用具有至少20个触点的袖带,可以在90%的人群中成功激活单个踝关节肌肉。
Ankle control is critical to both standing balance and efficient walking. This hypothesis presented in this paper is 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, contiguous group of fascicles. Simulations support the hypothesis and 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 using a cuff with at least 20 contacts.
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