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Sensor-based Assessment of Falls Risk of the Timed Up and Go in Real-World Settings

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Author(s)
Quinn, Charlene C. 
Greene, Barry R. 
McManus, Killian 
Redmond, Stephen 
Caulfield, Brian 
Uri
http://hdl.handle.net/10197/12199
Date Issued
08 November 2019
Date Available
25T16:15:54Z May 2021
Abstract
Falls are the leading cause of older adult injury and cost $50bn annually. New digital technologies can quantitatively measure falls risk. Objective is to report on a validated wearable sensor-based Timed Up and Go (QTUG) assessment detailing 11 measures of falls risk, frailty and mobility impairment in older adults in six countries in 38 clinical and community settings.
Sponsorship
Science Foundation Ireland
Other Sponsorship
Insight Research Centre
Type of Material
Journal Article
Publisher
Oxford University Press
Journal
Innovation in Aging
Volume
3
Issue
1
Start Page
S10
End Page
S10
Copyright (Published Version)
2019 the Authors
Keywords
  • Personal sensing

  • Falls

  • Older adults

  • Injuries

DOI
10.1093/geroni/igz038.033
Language
English
Status of Item
Peer reviewed
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by/3.0/ie/
Owning collection
Insight Research Collection
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