Deep Learning to Predict Falls in Older Adults Based on Daily-Life Trunk Accelerometry

Early detection of high fall risk is an essential component of fall prevention in older adults. Wearable sensors can provide valuable insight into daily-life activities; biomechanical features extracted from such inertial data have been shown to be of added value for the assessment of fall risk. Bod...

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Detalles Bibliográficos
Autores principales: Nait Aicha, Ahmed, Englebienne, Gwenn, van Schooten, Kimberley S., Pijnappels, Mirjam, Kröse, Ben
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5981199/
https://www.ncbi.nlm.nih.gov/pubmed/29786659
http://dx.doi.org/10.3390/s18051654

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5981199/
https://www.ncbi.nlm.nih.gov/pubmed/29786659
http://dx.doi.org/10.3390/s18051654

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