Increasing elbow torque output of strok patients by EMG-controlled external torque

Research output: Contribution to journalConference article

Abstract

A control algorithm for using homogenic EMG to control external assisting torque is developed for improving the elbow capability of stroke patients. The control signal to the manipulator is the difference between the weighted biceps and triceps EMG, so that the system moves with the forearm and provides assisting torque proportional to the voluntary effort. A nonlinear damping structure, mimicking physiological damping and incorporating the effects of cocontraction, was also included in the command for improving joint stability. The control algorithm has the advantage that the control is natural to the patient so that the learning process is simple. We tested the control algorithm in 5 normal subjects and 2 stroke patients. The results showed that the system could assist the subjects in completing work (tracking under loads) with less effort and without sacrificing performance.

Original languageEnglish
Pages (from-to)1437-1440
Number of pages4
JournalAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume2
Publication statusPublished - 2001 Dec 1
Event23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Istanbul, Turkey
Duration: 2001 Oct 252001 Oct 28

Fingerprint

Torque
Elbow
Damping
Stroke
Forearm
Manipulators
Joints
Learning

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

Cite this

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title = "Increasing elbow torque output of strok patients by EMG-controlled external torque",
abstract = "A control algorithm for using homogenic EMG to control external assisting torque is developed for improving the elbow capability of stroke patients. The control signal to the manipulator is the difference between the weighted biceps and triceps EMG, so that the system moves with the forearm and provides assisting torque proportional to the voluntary effort. A nonlinear damping structure, mimicking physiological damping and incorporating the effects of cocontraction, was also included in the command for improving joint stability. The control algorithm has the advantage that the control is natural to the patient so that the learning process is simple. We tested the control algorithm in 5 normal subjects and 2 stroke patients. The results showed that the system could assist the subjects in completing work (tracking under loads) with less effort and without sacrificing performance.",
author = "Chou-Ching Lin and Ming-Shaung Ju and Cheng, {H. S.}",
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AU - Cheng, H. S.

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N2 - A control algorithm for using homogenic EMG to control external assisting torque is developed for improving the elbow capability of stroke patients. The control signal to the manipulator is the difference between the weighted biceps and triceps EMG, so that the system moves with the forearm and provides assisting torque proportional to the voluntary effort. A nonlinear damping structure, mimicking physiological damping and incorporating the effects of cocontraction, was also included in the command for improving joint stability. The control algorithm has the advantage that the control is natural to the patient so that the learning process is simple. We tested the control algorithm in 5 normal subjects and 2 stroke patients. The results showed that the system could assist the subjects in completing work (tracking under loads) with less effort and without sacrificing performance.

AB - A control algorithm for using homogenic EMG to control external assisting torque is developed for improving the elbow capability of stroke patients. The control signal to the manipulator is the difference between the weighted biceps and triceps EMG, so that the system moves with the forearm and provides assisting torque proportional to the voluntary effort. A nonlinear damping structure, mimicking physiological damping and incorporating the effects of cocontraction, was also included in the command for improving joint stability. The control algorithm has the advantage that the control is natural to the patient so that the learning process is simple. We tested the control algorithm in 5 normal subjects and 2 stroke patients. The results showed that the system could assist the subjects in completing work (tracking under loads) with less effort and without sacrificing performance.

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