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Intra-subject approach for gait-event prediction by neural network interpretation of EMG signals
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 binary cl...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7389432/ https://www.ncbi.nlm.nih.gov/pubmed/32723335 http://dx.doi.org/10.1186/s12938-020-00803-1 |