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  5. Longitudinal assessment of falls in patients with Parkinson’s disease using inertial sensors and the Timed Up and Go test
 
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Longitudinal assessment of falls in patients with Parkinson’s disease using inertial sensors and the Timed Up and Go test

Author(s)
Greene, Barry R.  
Caulfield, Brian  
Lamichhane, Dronacharya  
et al.  
Uri
http://hdl.handle.net/10197/10770
Date Issued
2018-01-12
Date Available
2019-06-10T09:00:23Z
Abstract
Objective: To examine the predictive validity of a TUG test for falls risk, quantified using body-worn sensors (QTUG) in people with Parkinsons Disease (PD). We also sought to examine the inter-session reliability of QTUG sensor measures and their association with the Unified Parkinsons Disease Rating Scale (UPDRS) motor score. Approach: A six-month longitudinal study of 15 patients with Parkinsons disease. Participants were asked to complete a weekly diary recording any falls activity for six months following baseline assessment. Participants were assessed monthly, using a Timed Up and Go test, quantified using body-worn sensors, placed on each leg below the knee. Main results: The results suggest that the QTUG falls risk estimate recorded at baseline is 73.33% (44.90, 92.21)accurate in predicting falls within 90 days, while the Timed Up and Go time at baseline was 46.67% (21.27, 73.41)accurate. The Timed Up and Go time and QTUG falls risk estimate were strongly correlated with UPDRS motor score. Fifty-two of 59 inertial sensor parameters exhibited excellent inter-session reliability, five exhibited moderate reliability, while two parameters exhibited poor reliability. Significance: The results suggest that QTUG is a reliable tool for the assessment of gait and mobility in Parkinsons disease and, furthermore, that it may have utility in predicting falls in patients with Parkinsons disease.
Other Sponsorship
Insight Research Centre
Care Innovations LLC
Type of Material
Journal Article
Publisher
Sage
Journal
Journal of Rehabilitation and Assistive Technologies Engineering
Volume
5
Start Page
1
End Page
8
Copyright (Published Version)
2018 the Authors
Subjects

Falls

Parkinson’s disease

Sensors

Reliability

DOI
10.1177/2055668317750811
Language
English
Status of Item
Peer reviewed
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
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insight_publication.pdf

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235.08 KB

Format

Adobe PDF

Checksum (MD5)

07c038e3df968899d1137b45131fb6a6

Owning collection
Insight Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
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