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Longitudinal assessment of falls in patients with Parkinson’s disease using inertial sensors and the Timed Up and Go test
OBJECTIVE: To examine the predictive validity of a TUG test for falls risk, quantified using body-worn sensors (QTUG) in people with Parkinson's Disease (PD). We also sought to examine the inter-session reliability of QTUG sensor measures and their association with the Unified Parkinson’s Disea...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6453040/ https://www.ncbi.nlm.nih.gov/pubmed/31191922 http://dx.doi.org/10.1177/2055668317750811 |
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author | Greene, Barry R Caulfield, Brian Lamichhane, Dronacharya Bond, William Svendsen, Jessica Zurski, Connie Pratt, Dyveke |
author_facet | Greene, Barry R Caulfield, Brian Lamichhane, Dronacharya Bond, William Svendsen, Jessica Zurski, Connie Pratt, Dyveke |
author_sort | Greene, Barry R |
collection | PubMed |
description | OBJECTIVE: To examine the predictive validity of a TUG test for falls risk, quantified using body-worn sensors (QTUG) in people with Parkinson's Disease (PD). We also sought to examine the inter-session reliability of QTUG sensor measures and their association with the Unified Parkinson’s Disease Rating Scale (UPDRS) motor score. APPROACH: A six-month longitudinal study of 15 patients with Parkinson’s 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 Parkinson’s disease and, furthermore, that it may have utility in predicting falls in patients with Parkinson’s disease. |
format | Online Article Text |
id | pubmed-6453040 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-64530402019-06-12 Longitudinal assessment of falls in patients with Parkinson’s disease using inertial sensors and the Timed Up and Go test Greene, Barry R Caulfield, Brian Lamichhane, Dronacharya Bond, William Svendsen, Jessica Zurski, Connie Pratt, Dyveke J Rehabil Assist Technol Eng Special Collection: Wearable Technologies for Active Living and Rehabilitation OBJECTIVE: To examine the predictive validity of a TUG test for falls risk, quantified using body-worn sensors (QTUG) in people with Parkinson's Disease (PD). We also sought to examine the inter-session reliability of QTUG sensor measures and their association with the Unified Parkinson’s Disease Rating Scale (UPDRS) motor score. APPROACH: A six-month longitudinal study of 15 patients with Parkinson’s 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 Parkinson’s disease and, furthermore, that it may have utility in predicting falls in patients with Parkinson’s disease. SAGE Publications 2018-01-12 /pmc/articles/PMC6453040/ /pubmed/31191922 http://dx.doi.org/10.1177/2055668317750811 Text en © The Author(s) 2018 http://creativecommons.org/licenses/by-nc/4.0/ Creative Commons Non Commercial CC BY-NC: This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (http://www.creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Special Collection: Wearable Technologies for Active Living and Rehabilitation Greene, Barry R Caulfield, Brian Lamichhane, Dronacharya Bond, William Svendsen, Jessica Zurski, Connie Pratt, Dyveke Longitudinal assessment of falls in patients with Parkinson’s disease using inertial sensors and the Timed Up and Go test |
title | Longitudinal assessment of falls in patients with Parkinson’s disease
using inertial sensors and the Timed Up and Go test |
title_full | Longitudinal assessment of falls in patients with Parkinson’s disease
using inertial sensors and the Timed Up and Go test |
title_fullStr | Longitudinal assessment of falls in patients with Parkinson’s disease
using inertial sensors and the Timed Up and Go test |
title_full_unstemmed | Longitudinal assessment of falls in patients with Parkinson’s disease
using inertial sensors and the Timed Up and Go test |
title_short | Longitudinal assessment of falls in patients with Parkinson’s disease
using inertial sensors and the Timed Up and Go test |
title_sort | longitudinal assessment of falls in patients with parkinson’s disease
using inertial sensors and the timed up and go test |
topic | Special Collection: Wearable Technologies for Active Living and Rehabilitation |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6453040/ https://www.ncbi.nlm.nih.gov/pubmed/31191922 http://dx.doi.org/10.1177/2055668317750811 |
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