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...
| Những tác giả chính: | , , , |
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| Định dạng: | Bài viết |
| Ngôn ngữ: | English |
| Được phát hành: |
Elsevier
2019
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| Truy cập trực tuyến: | http://psasir.upm.edu.my/id/eprint/82741/1/Walking%20gait%20event%20detection%20based%20on%20electromyography%20signals%20using%20artificial%20neural%20network.pdf |