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 requests, we explore the Functional Reach Test (FRT) for real-time fall risk assessment and implement the FRT function inmStroke, a real-time and automatic mobile health system for poststroke recovery and rehabilitation.mStrokeis 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 inmStrokeis 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 inmStrokethrough clinical trials on individuals after stroke, which may guide its ubiquitous exploitation in the near future.
Department of Computer Science and Engineering, University of Tennessee at Chattanooga, Chattanooga, TN 37403, USA.
Brian
B
Williams
Department of Computer Science and Engineering, University of Tennessee at Chattanooga, Chattanooga, TN 37403, USA.
Brandon
B
Allen
Department of Computer Science and Engineering, University of Tennessee at Chattanooga, Chattanooga, TN 37403, USA.
Zhen
0000-0001-5010-2900
Z
Hu
Department of Physical Therapy, University of Tennessee at Chattanooga, Chattanooga, TN 37403, USA.
Hanna
H
True
Department of Computer Science and Engineering, University of Tennessee at Chattanooga, Chattanooga, TN 37403, USA.
Jin
J
Cho
Department of Computer Science and Engineering, University of Tennessee at Chattanooga, Chattanooga, TN 37403, USA.
Austin
A
Harris
Department of Physical Therapy, University of Tennessee at Chattanooga, Chattanooga, TN 37403, USA.
Nancy
N
Fell
Department of Computer Science and Engineering, University of Tennessee at Chattanooga, Chattanooga, TN 37403, USA.
Mina
0000-0002-6709-5046
M
Sartipi