Walking gait event detection based on electromyography signals using artificial neural network
In many gait applications, the focal events are the stance and swing phases. Although detecting gait events using electromyography signals will help the development of assistive devices such as exoskeleton, orthoses, and prostheses, stance and swing phases have yet to be observed using electromyogra...
Saved in:
| Main Authors: | , , , |
|---|---|
| 格式: | Article |
| 语言: | English |
| 出版: |
Elsevier
2019
|
| 在线阅读: | http://psasir.upm.edu.my/id/eprint/82741/1/Walking%20gait%20event%20detection%20based%20on%20electromyography%20signals%20using%20artificial%20neural%20network.pdf http://psasir.upm.edu.my/id/eprint/82741/ |
| 标签: |
添加标签
没有标签, 成为第一个标记此记录!
|