A Swing-Assist Controller for Enhancing Knee Flexion in a Semi-Powered Transfemoral Prosthesis

IF 4.8 2区 医学 Q2 ENGINEERING, BIOMEDICAL IEEE Transactions on Neural Systems and Rehabilitation Engineering Pub Date : 2024-11-11 DOI:10.1109/TNSRE.2024.3495517
David M. Marsh;Marco Puliti;Michael Goldfarb
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Abstract

This work proposes a new swing controller for semi-powered low impedance transfemoral prostheses that resolves the issue of potentially competing inputs between artificial assistive power and user-sourced power. Rather than add power as an exogeneous input, the control approach uses power to modify the homogeneous portion of the shank dynamics, and therefore need not construct or curate an input that is coordinated with user input. The implemented controller requires a single control parameter at a given walking speed, where the value of that parameter is a function of walking speed, as determined by an adaptive algorithm, such that peak knee angles are commensurate with walking-speed-dependent behaviors of individuals without any negative gait pathologies. The controller and parameter selection algorithm are described in the paper, and subsequently validated in walking experiments with three participants with unilateral transfemoral amputation. The experiments demonstrate that the proposed controller increases peak knee angle and minimum toe clearance during swing phase without increasing hip compensatory actions, relative to the users’ daily-use devices.
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用于增强半动力跨股假肢膝关节屈曲的摆动辅助控制器
这项研究为半动力低阻抗经股动假肢提出了一种新的摆动控制器,解决了人工辅助动力和用户输入动力之间可能存在竞争的问题。这种控制方法不是将动力作为外来输入添加,而是利用动力来修改柄部动态的同质部分,因此无需构建或策划与用户输入相协调的输入。实施的控制器在给定的步行速度下只需要一个控制参数,该参数的值是步行速度的函数,由自适应算法决定,这样膝关节的峰值角度就与没有任何不良步态病症的人的步行速度行为相称。文中介绍了控制器和参数选择算法,并随后在三名单侧经股截肢者的行走实验中进行了验证。实验证明,相对于用户日常使用的设备,所提出的控制器在摆动阶段增加了膝关节角度峰值和脚趾间隙最小值,而没有增加髋关节的补偿动作。
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来源期刊
CiteScore
8.60
自引率
8.20%
发文量
479
审稿时长
6-12 weeks
期刊介绍: Rehabilitative and neural aspects of biomedical engineering, including functional electrical stimulation, acoustic dynamics, human performance measurement and analysis, nerve stimulation, electromyography, motor control and stimulation; and hardware and software applications for rehabilitation engineering and assistive devices.
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