Simon Ann M, Ingraham Kimberly A, Spanias John A, Young Aaron J, Finucane Suzanne B, Halsne Elizabeth G, Hargrove Levi J
IEEE Trans Neural Syst Rehabil Eng. 2017 Aug;25(8):1164-1171. doi: 10.1109/TNSRE.2016.2613020. Epub 2016 Sep 22.
Powered lower limb prostheses can assist users in a variety of ambulation modes by providing knee and/or ankle joint power. This study's goal was to develop a flexible control system to allow users to perform a variety of tasks in a natural, accurate, and reliable way. Six transfemoral amputees used a powered knee-ankle prosthesis to ascend/descend a ramp, climb a 3- and 4-step staircase, perform walking and standing transitions to and from the staircase, and ambulate at various speeds. A mode-specific classification architecture was developed to allow seamless transitions at four discrete gait events. Prosthesis mode transitions (i.e., the prosthesis' mechanical response) were delayed by 90 ms. Overall, users were not affected by this small delay. Offline classification results demonstrate significantly reduced error rates with the delayed system compared to the non-delayed system (p < 0.001). The average error rate for all heel contact decisions was 1.65% [0.99%] for the non-delayed system and 0.43% [0.23%] for the delayed system. The average error rate for all toe off decisions was 0.47% [0.16%] for the non-delayed system and 0.13% [0.05%] for the delayed system. The results are encouraging and provide another step towards a clinically viable intent recognition system for a powered knee-ankle prosthesis.
电动下肢假肢可以通过提供膝关节和/或踝关节动力来协助使用者进行多种行走模式。本研究的目标是开发一种灵活的控制系统,使使用者能够以自然、准确和可靠的方式执行各种任务。六名经股骨截肢者使用电动膝踝假肢上下斜坡、攀爬3级和4级楼梯、在楼梯上进行行走和站立的转换,以及以不同速度行走。开发了一种特定模式的分类架构,以允许在四个离散步态事件中实现无缝转换。假肢模式转换(即假肢的机械响应)延迟了90毫秒。总体而言,使用者并未受到这种小延迟的影响。离线分类结果表明,与未延迟系统相比,延迟系统的错误率显著降低(p < 0.001)。未延迟系统所有足跟触地判定的平均错误率为1.65% [0.99%],延迟系统为0.43% [0.23%]。未延迟系统所有足趾离地判定的平均错误率为0.47% [0.16%],延迟系统为0.13% [0.05%]。这些结果令人鼓舞,为实现临床上可行的电动膝踝假肢意图识别系统又迈出了一步。