Force estimation in fatigue condition using a muscle-twitch model during isometric finger contraction

被引:9
|
作者
Na, Youngjin [2 ]
Kim, Sangjoon J. [1 ]
Kim, Jung [1 ]
机构
[1] Korea Adv Inst Sci & Technol, Dept Mech Engn, Daejeon, South Korea
[2] Univ Texas Austin, Dept Mech Engn, Austin, TX 78712 USA
基金
新加坡国家研究基金会;
关键词
Surface electromyography (sEMG); Force estimation; Muscle-twitch model; Muscle fatigue; MOTOR UNITS; SURFACE EMG; THRESHOLD;
D O I
10.1016/j.medengphy.2017.10.002
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
We propose a force estimation method in fatigue condition using a muscle-twitch model and surface electromyography (sEMG). The twitch model, which is an estimate of force by a single spike, was obtained from sEMG features and measured forces. Nine healthy subjects performed isometric index finger abduction until exhaustion for a series of dynamic contractions (0-20% MVC) to characterize the twitch model and static contractions (50% MVC) to induce muscle fatigue. Muscle fatigue was identified based on the changes of twitch model; the twitch peak decreased and the contraction time increased as muscle fatigue developed. Force estimation performance in non-fatigue and fatigue conditions was evaluated and its results were compared with that of a conventional method using the mean absolute value (MAV). In non-fatigue conditions, the performance of the proposed method (0.90 +/- 0.05) and the MAV method (0.88 +/- 0.06) were comparable. In fatigue conditions, the performance was significantly improved for the proposed method (0.87 +/- 0.05) compared with the MAV (0.78 +/- 0.09). (C) 2017 IPEM. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:103 / 108
页数:6
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