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Real-Time Fall Risk Assessment Using Functional Reach Test.

Brian Williams¹, Brandon Allen¹, Zhen Hu¹

¹Department of Computer Science and Engineering, University of Tennessee at Chattanooga, Chattanooga, TN 37403, USA.

International Journal of Telemedicine and Applications

|February 8, 2017

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This study introduces mStroke, a mobile health app using the Functional Reach Test (FRT) for real-time fall risk assessment in stroke survivors. The system aims to provide a reliable, remote tool for post-stroke rehabilitation.

Area of Science:

Rehabilitation Medicine
Biomedical Engineering
Digital Health

Background:

Falls pose significant risks for stroke survivors across all recovery stages.
There is a critical need for real-time, reliable, and remote fall risk assessment tools.
Existing methods may lack the accessibility and quantifiability required for widespread clinical use.

Purpose of the Study:

To explore the Functional Reach Test (FRT) for real-time fall risk assessment.
To implement and test the FRT function within the mStroke mobile health system.
To establish a feasible and quantifiable remote tool for post-stroke fall risk evaluation.

Main Methods:

Development of the mStroke application, integrating FRT functionality.
Utilizing an iPad and wireless body motion sensors for data acquisition.

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Extensive testing of the FRT function on healthy human subjects to validate concept and feasibility.

Main Results:

The mStroke system successfully implemented the FRT function.
Preliminary testing on healthy subjects demonstrated the concept's feasibility.
Performance data supports further clinical trials in post-stroke individuals.

Conclusions:

The mStroke system, incorporating the FRT, shows promise as a remote, real-time fall risk assessment tool.
Further clinical trials are warranted to validate its efficacy in stroke survivors.
This technology has the potential for widespread application in post-stroke rehabilitation.