Wodlinger B, Durand D M
Case Western Reserve University, Neural Engineering Center, Cleveland, OH 44118, USA.
Annu Int Conf IEEE Eng Med Biol Soc. 2010;2010:6206-9. doi: 10.1109/IEMBS.2010.5627735.
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 R(2)=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.
为了充分利用现代多自由度假肢，需要强大且自然的控制信号。先前的研究表明，波束形成提供了一种从周围神经活动中提取此类信号的方法[1]。本文描述了为在更现实的情况下验证该方法而进行的体内实验。使用16通道平面接口神经电极记录兔子坐骨神经的活动，同时刺激胫神经和腓总神经的远端分支。波束形成的相关系数R(2)=0.7±0.2，比事后选择的最佳通道提高了0.12±0.06。当使用千赫兹级刺激生成更逼真的信号时，波束形成滤波器能够在大范围的刺激强度下区分出正在被刺激的是哪一支神经，并且在许多情况下还能区分刺激的强度。
