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

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Title: Sensor-based Assessment of Falls Risk of the Timed Up and Go in Real-World Settings
Authors: Quinn, Charlene C.Greene, Barry R.McManus, KillianRedmond, StephenCaulfield, Brian
Permanent link: http://hdl.handle.net/10197/12199
Date: 8-Nov-2019
Online since: 2021-05-25T16:15:54Z
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.
Funding Details: Science Foundation Ireland
Funding Details: 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 sensingFallsOlder adultsInjuries
DOI: 10.1093/geroni/igz038.033
Language: en
Status of Item: Peer reviewed
This item is made available under a Creative Commons License: https://creativecommons.org/licenses/by/3.0/ie/
Appears in Collections:Public Health, Physiotherapy and Sports Science Research Collection
Insight Research Collection

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