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...

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Detalles Bibliográficos
Autores principales: Dubois, Amandine, Mouthon, Audrey, Sivagnanaselvam, Ranjith Steve, Bresciani, Jean-Pierre
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research
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

Internet

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

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