Committee Chair
Sartipi, Mina
Committee Member
Kizza, Joseph; Yang, Li
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
DCMI Type
Text
Extent
xvii, 82 leaves
Language
English
Rights
https://rightsstatements.org/page/InC/1.0/?language=en
License
http://creativecommons.org/licenses/by-nc-nd/3.0/
Recommended Citation
Derveloy, Robert, "Exploration of the effectiveness of Apple ios devices and bluetooth low-energy nodes in the evaulation of stroke patient rehabilitation and recovery" (2012). Masters Theses and Doctoral Dissertations.
https://scholar.utc.edu/theses/250
Department
Dept. of Computer Science and Engineering