Hansen Morten, Haugland Morten K, Sinkjaer Thomas
Alfred Mann Foundation, Valencia, CA 91355, USA.
IEEE Trans Neural Syst Rehabil Eng. 2004 Mar;12(1):81-8. doi: 10.1109/TNSRE.2003.819890.
A real-time system for deriving timing control for functional electrical stimulation for foot-drop correction, using peripheral nerve activity as a sensor input, was tested for reliability to investigate the potential for clinical use. The system, which was previously reported on, was tested on a hemiplegic subject instrumented with a recording cuff electrode on the Sural nerve, and a stimulation cuff electrode on the Peroneal cuff. Implanted devices enabled recording and stimulation through telelinks. An input domain was derived from the recorded electroneurogram and fed to a detection algorithm based on an adaptive logic network for controlling the stimulation timing. The reliability was tested by letting the subject wear different foot wear and walk on different surfaces than when the training data was recorded. The detection system was also evaluated several months after training. The detection system proved able to successfully detect when walking with different footwear on varying surfaces up to 374 days after training, and thereby showed great potential for being clinically useful.
一种用于推导功能性电刺激以矫正足下垂的定时控制的实时系统，该系统使用周围神经活动作为传感器输入，对其可靠性进行了测试，以研究其临床应用潜力。之前已报道过该系统，此次在一名偏瘫受试者身上进行测试，该受试者在腓肠神经上植入了记录袖带电极，在腓总神经上植入了刺激袖带电极。植入设备可通过远程链路进行记录和刺激。从记录的神经电图中得出一个输入域，并将其输入到基于自适应逻辑网络的检测算法中，以控制刺激时间。通过让受试者穿着与记录训练数据时不同的鞋子并在不同表面行走来测试可靠性。在训练几个月后也对检测系统进行了评估。检测系统被证明能够在训练后长达374天的时间里成功检测出在不同表面穿着不同鞋子行走的情况，因此显示出巨大的临床应用潜力。
