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Fast and automatic assessment of fall risk by coupling machine learning algorithms with a depth camera to monitor simple balance tasks
BACKGROUND: Falls in the elderly constitute a major health issue associated to population ageing. Current clinical tests evaluating fall risk mostly consist in assessing balance abilities. The devices used for these tests can be expensive or inconvenient to set up. We investigated whether, how and t...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6560720/ https://www.ncbi.nlm.nih.gov/pubmed/31186002 http://dx.doi.org/10.1186/s12984-019-0532-x |