Citation

Danielsen A, Olofsen H, Bremdal BA. J. Biomed. Inform. 2016; 63: 184-194.

Affiliation

UiT - The Arctic University of Norway, Norway. Electronic address: BerntArild.Bremdal@uit.no.

Copyright

(Copyright © 2016, Elsevier Publishing)

DOI

10.1016/j.jbi.2016.08.016

PMID

27544413

Abstract

Each year about a third of elderly aged 65 or older experience a fall. Many of these falls may have been avoided if fall risk assessment and prevention tools where available in a daily living situation. We identify what kind of information is relevant for doing fall risk assessment and prevention using wearable sensors in a daily living environment by investigating current research, distinguishing between prospective and context-aware fall risk assessment and prevention. Based on our findings, we propose a fall risk awareness protocol as a fall prevention tool integrating both wearables and ambient sensing technology into a single platform.

Copyright © 2016. Published by Elsevier Inc.

Language: en