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...

Disgrifiad llawn

Wedi'i Gadw mewn:
Manylion Llyfryddiaeth
Prif Awduron: Ahmed Nait Aicha, Gwenn Englebienne, Kimberley S. van Schooten, Mirjam Pijnappels, Ben Kröse
Fformat: Artigo
Iaith:Inglês
Cyhoeddwyd: MDPI AG 2018-05-01
Cyfres:Sensors
Pynciau:
accidental falls
older adults
machine learning
neural networks
convolutional neural network
long short-term memory
accelerometry
Mynediad Ar-lein:http://www.mdpi.com/1424-8220/18/5/1654
Tagiau: Ychwanegu Tag
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