Mathematical models for fatigue minimization during functional electrical stimulation

被引:54
作者
Ding, J [1 ]
Wexler, AS
Binder-Macleod, SA
机构
[1] Univ Delaware, Dept Phys Therapy, McKinly Labs 301, Newark, DE 19716 USA
[2] Univ Delaware, Interdisciplinary Grad Program Biomech & Movement, Newark, DE 19716 USA
[3] Univ Calif Davis, Dept Mech & Aeronaut Engn, Davis, CA 95616 USA
[4] Univ Calif Davis, Dept Civil & Environm Engn, Davis, CA 95616 USA
[5] Univ Calif Davis, Dept Land Air & Water Resources, Davis, CA 95616 USA
关键词
functional electrical stimulation; doublets; predictive model; muscle fatigue;
D O I
10.1016/S1050-6411(03)00102-0
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
We previously reported the development of a force- and fatigue-model system that predicted accurately forces during repetitive fatiguing activation of human skeletal muscles using brief duration (six-pulse) stimulation trains. The model system was tested in the present study using force responses produced by longer duration stimulation trains, containing up to 50 pulses. Our results showed that our model successfully predicted the peak forces produced when the muscle was repetitively activated with stimulation trains of frequencies ranging from 20 to 40 Hz, train durations ranging from 0.5 to 1 s, and varied pulse patterns. The predicted peak forces throughout each protocol matched the experimental peak forces with r(2) values above 0.9 and predicted successfully the forces at the end of each protocol with <15% error for all protocols tested. The success of our model system further supports its potential use for the design of optimal stimulation patterns for individual users during functional electrical stimulation. (C) 2003 Elsevier Ltd. All rights reserved.
引用
收藏
页码:575 / 588
页数:14
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