首页> 外文会议>33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society >Probabilistic modeling of selective stimulation of the human sciatic nerve with a flat Interface Nerve Electrode
【24h】

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

机译:扁平界面神经电极选择性刺激人坐骨神经的概率模型

获取原文

摘要

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:正确的脚踝控制对于站立平衡和有效行走都至关重要。这项研究假设,在坐骨神经周围放置扁平接口神经电极(FINE),在预定位置固定接触,并且无需事先了解神经底层的神经解剖结构,就可以选择性地控制每个踝关节运动。创建了由大小不同的FINE围绕的人坐骨神经模型,并将其用于计算任意指定的束中轴突选择性激活的可能性。模拟表明,当前可用的可植入技术不能选择性地单独募集每个目标plant屈,但可以从坐骨神经上的部位恢复plant屈或背屈而不会溢出到拮抗剂上。通过利用双极刺激和/或通过增加袖带内的接触次数,可以成功地激活90%人口的单个脚踝肌肉。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号