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首页> 外文会议>32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society >Peripheral nerve signal recording and processing for artificial limb control
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Peripheral nerve signal recording and processing for artificial limb control

机译：用于人工肢体控制的周围神经信号记录和处理

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In order to take full advantage of modern multiple-degree of freedom prosthetic limbs, robust and natural control signals are needed. Previous work has shown that beamforming provides a method to extract such signals from peripheral nerve activity [1]. This paper describes in vivo experiments done to validate that method in a more realistic case. A 16-channel Flat Interface Nerve Electrode was used to record from the Sciatic nerve in Rabbit, while the distal Tibial and Peroneal branches were stimulated. Beamforming provided R2=0.7±0.2, an improvement of 0.12±0.06 over the a posteriori chosen best channels. When more realistic signals were generated using kHz-level stimulation, the beamforming filters were able to distinguish which branch was being stimulated, and in many cases how strongly, over a large range of stimulation intensities.
机译：为了充分利用现代多自由度假肢，需要鲁棒且自然的控制信号。先前的工作表明，波束成形提供了一种从周围神经活动中提取此类信号的方法[1]。本文介绍了在更现实的情况下为验证该方法而进行的体内实验。在刺激胫骨和腓骨远端分支的同时，使用16通道扁平界面神经电极记录兔的坐骨神经。波束成形提供R 2 = 0.7±0.2，比后验选择的最佳通道提高了0.12±0.06。当使用kHz级刺激产生更真实的信号时，波束成形滤波器能够区分出在大范围的刺激强度下正在刺激哪个分支，以及在许多情况下强度有多强。

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