Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Williams, Brian, Allen, Brandon, Hu, Zhen, True, Hanna, Cho, Jin, Harris, Austin, Fell, Nancy, Sartipi, Mina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2017
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
_version_ 1782499318732685312
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
work_keys_str_mv AT williamsbrian realtimefallriskassessmentusingfunctionalreachtest
AT allenbrandon realtimefallriskassessmentusingfunctionalreachtest
AT huzhen realtimefallriskassessmentusingfunctionalreachtest
AT truehanna realtimefallriskassessmentusingfunctionalreachtest
AT chojin realtimefallriskassessmentusingfunctionalreachtest
AT harrisaustin realtimefallriskassessmentusingfunctionalreachtest
AT fellnancy realtimefallriskassessmentusingfunctionalreachtest
AT sartipimina realtimefallriskassessmentusingfunctionalreachtest