Gait phase recognition of children with cerebral palsy via deep learning based on IMU data from a soft ankle exoskeleton
Accurate gait-phase identification in children with Cerebral Palsy (CP) constitutes a pivotal prerequisite for evidence-based rehabilitation. Addressing the precise detection of gait disturbances under natural ambulation, we propose a deep-learning framework that integrates a stacked denoising autoe...
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| Principais autores: | , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Frontiers Media S.A.
2025-09-01
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| Colecção: | Frontiers in Bioengineering and Biotechnology |
| Assuntos: | |
| Acesso em linha: | https://www.frontiersin.org/articles/10.3389/fbioe.2025.1679812/full |
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