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Real-Time Fall Risk Assessment Using Functional Reach Test
Falls are common and dangerous for survivors of stroke at all stages of recovery. The widespread need to assess fall risk in real time for individuals after stroke has generated emerging requests for a reliable, inexpensive, quantifiable, and remote clinical measure/tool. In order to meet these requ...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5259990/ https://www.ncbi.nlm.nih.gov/pubmed/28167961 http://dx.doi.org/10.1155/2017/2042974 |
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author | Williams, Brian Allen, Brandon Hu, Zhen True, Hanna Cho, Jin Harris, Austin Fell, Nancy Sartipi, Mina |
author_facet | Williams, Brian Allen, Brandon Hu, Zhen True, Hanna Cho, Jin Harris, Austin Fell, Nancy Sartipi, Mina |
author_sort | Williams, Brian |
collection | PubMed |
description | Falls are common and dangerous for survivors of stroke at all stages of recovery. The widespread need to assess fall risk in real time for individuals after stroke has generated emerging requests for a reliable, inexpensive, quantifiable, and remote clinical measure/tool. In order to meet these requests, we explore the Functional Reach Test (FRT) for real-time fall risk assessment and implement the FRT function in mStroke, a real-time and automatic mobile health system for poststroke recovery and rehabilitation. mStroke is designed, developed, and delivered as an Application (App) running on a hardware platform consisting of an iPad and one or two wireless body motion sensors based on different mobile health functions. The FRT function in mStroke is extensively tested on healthy human subjects to verify its concept and feasibility. Preliminary performance will be presented to justify the further exploration of the FRT function in mStroke through clinical trials on individuals after stroke, which may guide its ubiquitous exploitation in the near future. |
format | Online Article Text |
id | pubmed-5259990 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-52599902017-02-06 Real-Time Fall Risk Assessment Using Functional Reach Test Williams, Brian Allen, Brandon Hu, Zhen True, Hanna Cho, Jin Harris, Austin Fell, Nancy Sartipi, Mina Int J Telemed Appl Research Article Falls are common and dangerous for survivors of stroke at all stages of recovery. The widespread need to assess fall risk in real time for individuals after stroke has generated emerging requests for a reliable, inexpensive, quantifiable, and remote clinical measure/tool. In order to meet these requests, we explore the Functional Reach Test (FRT) for real-time fall risk assessment and implement the FRT function in mStroke, a real-time and automatic mobile health system for poststroke recovery and rehabilitation. mStroke is designed, developed, and delivered as an Application (App) running on a hardware platform consisting of an iPad and one or two wireless body motion sensors based on different mobile health functions. The FRT function in mStroke is extensively tested on healthy human subjects to verify its concept and feasibility. Preliminary performance will be presented to justify the further exploration of the FRT function in mStroke through clinical trials on individuals after stroke, which may guide its ubiquitous exploitation in the near future. Hindawi Publishing Corporation 2017 2017-01-10 /pmc/articles/PMC5259990/ /pubmed/28167961 http://dx.doi.org/10.1155/2017/2042974 Text en Copyright © 2017 Brian Williams et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Williams, Brian Allen, Brandon Hu, Zhen True, Hanna Cho, Jin Harris, Austin Fell, Nancy Sartipi, Mina Real-Time Fall Risk Assessment Using Functional Reach Test |
title | Real-Time Fall Risk Assessment Using Functional Reach Test |
title_full | Real-Time Fall Risk Assessment Using Functional Reach Test |
title_fullStr | Real-Time Fall Risk Assessment Using Functional Reach Test |
title_full_unstemmed | Real-Time Fall Risk Assessment Using Functional Reach Test |
title_short | Real-Time Fall Risk Assessment Using Functional Reach Test |
title_sort | real-time fall risk assessment using functional reach test |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5259990/ https://www.ncbi.nlm.nih.gov/pubmed/28167961 http://dx.doi.org/10.1155/2017/2042974 |
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