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...

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Bibliographic Details
Published in:International Journal of Telemedicine and Applications 2017-01, Vol.2017 (2017), p.1-8-004
Main Authors: Sartipi, Mina, Harris, Austin, Cho, Jin, True, Hanna, Hu, Zhen, Allen, Brandon, Williams, Brian, Fell, Nancy
Format: Article
Language:English
Subjects:
Balance
Colleges & universities
Demographics
Falls
Falls (Accidents)
Hardware
Health
Older people
Real time
Recovery
Rehabilitation
Risk assessment
Sensors
Stroke
Strokes
Subacute care
Telemedicine
Usability
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Summary: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.
ISSN:1687-6415
1687-6423
DOI:10.1155/2017/2042974