Sensor-based Assessment of Falls Risk of the Timed Up and Go in Real-World Settings
|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, Killian; Redmond, Stephen; Caulfield, 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 sensing; Falls; Older adults; Injuries||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|
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