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 language | English |
---|---|
Pages (from-to) | 1437-1440 |
Number of pages | 4 |
Journal | Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings |
Volume | 2 |
Publication status | Published - 2001 Dec 1 |
Event | 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Istanbul, Turkey Duration: 2001 Oct 25 → 2001 Oct 28 |
All Science Journal Classification (ASJC) codes
- Signal Processing
- Biomedical Engineering
- Computer Vision and Pattern Recognition
- Health Informatics