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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| Автори: | , , , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
BMC
2020-07-01
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| Серія: | BioMedical Engineering OnLine |
| Предмети: | |
| Онлайн доступ: | http://link.springer.com/article/10.1186/s12938-020-00803-1 |
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