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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

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