Citation

Williams B, Allen B, Hu Z, True H, Cho J, Harris A, Fell N, Sartipi M. Int. J. Telemed. Appl. 2017; 2017: e2042974.

Affiliation

Department of Computer Science and Engineering, University of Tennessee at Chattanooga, Chattanooga, TN 37403, USA.

Copyright

(Copyright © 2017, Hindawi Publishing)

DOI

10.1155/2017/2042974

PMID

28167961

Abstract

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.

Language: en