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...
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| 主要な著者: | , , , |
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| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
Elsevier
2019
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| オンライン･アクセス: | 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/ |
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