Committee Chair

Sartipi, Mina

Committee Member

Kizza, Joseph; Yang, Li

Department

Dept. of Computer Science and Engineering

College

College of Engineering and Computer Science

Publisher

University of Tennessee at Chattanooga

Place of Publication

Chattanooga (Tenn.)

Abstract

The goal of this study is to help establish a foundation for cost effective stroke patient telerehabilitation by examining the efficacy of off-the-shelf consumer motion sensors. This paper examines the practical implications of utilizing Apple iOS mobile devices and Variable Technology KORE NODE devices in the evaluation of stroke patient recovery. Several algorithms are proposed to handle the user positioning and cheating detection requirements of the Functional Reach Test (FRT), efficient scoring of the National Institutes of Health Stroke Scale (NIHSS) motor arm exams, and real-time fall detection monitoring.

Degree

M. S.; A thesis submitted to the faculty of the University of Tennessee at Chattanooga in partial fulfillment of the requirements of the degree of Master of Science.

Date

12-2012

Subject

Biomedical engineering; Self-help devices for people with disabilities

Discipline

Computer Sciences

Document Type

Masters theses

Extent

xvii, 82 leaves

Language

English

Rights

Under copyright.

License

http://creativecommons.org/licenses/by-nc-nd/3.0/

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