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AN INNOVATIVE PLATFORM BASED ON WEARABLE SENSOR TO QUANTIFY FRAILTY PHENOTYPES
This study evaluated an innovative wearable sensor based platform (instrumented trail-making task, iTMT) to quickly quantify frailty phenotypes, without the need of walking test. 61 older adults (age=72.8 ± 9.9years, BMI=27.4±4.9kg/m2) were recruited and assessed by Fried Frailty Criteria to determi...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6841241/ http://dx.doi.org/10.1093/geroni/igz038.2523 |
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author | Zhou, He Najafi, Bijan |
author_facet | Zhou, He Najafi, Bijan |
author_sort | Zhou, He |
collection | PubMed |
description | This study evaluated an innovative wearable sensor based platform (instrumented trail-making task, iTMT) to quickly quantify frailty phenotypes, without the need of walking test. 61 older adults (age=72.8 ± 9.9years, BMI=27.4±4.9kg/m2) were recruited and assessed by Fried Frailty Criteria to determine frailty phenotypes. All subjects participated the iTMT test by standing in front of a computer, wearing a wearable sensor on the front lower shin. The sensor tracked the subject’s ankle movement and projected it on a computer-screen as a moving cursor at real-time. The subject rotated the ankle joint to navigate the cursor to reach 5 indexed circles (including numbers 1-to-3 and letters A&B placed in random orders) in the alternative order of numbers and letters. The iTMT required coordination of brain and body movement, testing subject’s cognitive-motor function. The sensor quantified ankle-rotation biomechanics during the test. All subjects completed the iTMT with average time less than 3 minutes. The ankle-rotation velocity generated during the test distinguished between the presence and absence of Slowness phenotype (Cohen’s effect size d=1.40, p<0.001). The decline of ankle-rotation velocity determined the presence of Exhaustion phenotype (d=0.98, p=0.003). The ankle-rotation power generated during the test determined the presence of Weakness phenotype (d=1.38, p<0.001). The ankle-velocity variability determined the presence of Inactivity phenotype (d=0.90, p<0.001). This study demonstrated the feasibility and validity of the iTMT to quantify frailty phenotypes. This new platform is time-efficient and doesn’t require walking test. It’s more practical for routine assessment in small and busy clinics among patients with mobility limitation. |
format | Online Article Text |
id | pubmed-6841241 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-68412412019-11-13 AN INNOVATIVE PLATFORM BASED ON WEARABLE SENSOR TO QUANTIFY FRAILTY PHENOTYPES Zhou, He Najafi, Bijan Innov Aging Session 3325 (Poster) This study evaluated an innovative wearable sensor based platform (instrumented trail-making task, iTMT) to quickly quantify frailty phenotypes, without the need of walking test. 61 older adults (age=72.8 ± 9.9years, BMI=27.4±4.9kg/m2) were recruited and assessed by Fried Frailty Criteria to determine frailty phenotypes. All subjects participated the iTMT test by standing in front of a computer, wearing a wearable sensor on the front lower shin. The sensor tracked the subject’s ankle movement and projected it on a computer-screen as a moving cursor at real-time. The subject rotated the ankle joint to navigate the cursor to reach 5 indexed circles (including numbers 1-to-3 and letters A&B placed in random orders) in the alternative order of numbers and letters. The iTMT required coordination of brain and body movement, testing subject’s cognitive-motor function. The sensor quantified ankle-rotation biomechanics during the test. All subjects completed the iTMT with average time less than 3 minutes. The ankle-rotation velocity generated during the test distinguished between the presence and absence of Slowness phenotype (Cohen’s effect size d=1.40, p<0.001). The decline of ankle-rotation velocity determined the presence of Exhaustion phenotype (d=0.98, p=0.003). The ankle-rotation power generated during the test determined the presence of Weakness phenotype (d=1.38, p<0.001). The ankle-velocity variability determined the presence of Inactivity phenotype (d=0.90, p<0.001). This study demonstrated the feasibility and validity of the iTMT to quantify frailty phenotypes. This new platform is time-efficient and doesn’t require walking test. It’s more practical for routine assessment in small and busy clinics among patients with mobility limitation. Oxford University Press 2019-11-08 /pmc/articles/PMC6841241/ http://dx.doi.org/10.1093/geroni/igz038.2523 Text en © The Author(s) 2019. Published by Oxford University Press on behalf of The Gerontological Society of America. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Session 3325 (Poster) Zhou, He Najafi, Bijan AN INNOVATIVE PLATFORM BASED ON WEARABLE SENSOR TO QUANTIFY FRAILTY PHENOTYPES |
title | AN INNOVATIVE PLATFORM BASED ON WEARABLE SENSOR TO QUANTIFY FRAILTY PHENOTYPES |
title_full | AN INNOVATIVE PLATFORM BASED ON WEARABLE SENSOR TO QUANTIFY FRAILTY PHENOTYPES |
title_fullStr | AN INNOVATIVE PLATFORM BASED ON WEARABLE SENSOR TO QUANTIFY FRAILTY PHENOTYPES |
title_full_unstemmed | AN INNOVATIVE PLATFORM BASED ON WEARABLE SENSOR TO QUANTIFY FRAILTY PHENOTYPES |
title_short | AN INNOVATIVE PLATFORM BASED ON WEARABLE SENSOR TO QUANTIFY FRAILTY PHENOTYPES |
title_sort | innovative platform based on wearable sensor to quantify frailty phenotypes |
topic | Session 3325 (Poster) |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6841241/ http://dx.doi.org/10.1093/geroni/igz038.2523 |
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