Classification Of Walking Patterns From sEMG Using Hybrid CNN-LSTM Model
Advanced technologies help in the analysis of the surface electromyogram (sEMG) signals to recognize the pattern of the gait and provides the mechanism to control the prosthetics. EMG signals used for the diagnosis of neuromuscular diseases, human-machine interaction as they reflect human intensions...
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| Autors principals: | , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
De Gruyter
2025-09-01
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| Col·lecció: | Current Directions in Biomedical Engineering |
| Matèries: | |
| Accés en línia: | https://doi.org/10.1515/cdbme-2025-0129 |
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