Intra-subject approach for gait-event prediction by neural network interpretation of EMG signals
Abstract Background Machine learning models were satisfactorily implemented for estimating gait events from surface electromyographic (sEMG) signals during walking. Most of them are based on inter-subject approaches for data preparation. Aim of the study is to propose an intra-subject approach for b...
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| 主要な著者: | , , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
BMC
2020-07-01
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| シリーズ: | BioMedical Engineering OnLine |
| 主題: | |
| オンライン･アクセス: | http://link.springer.com/article/10.1186/s12938-020-00803-1 |
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