{"id":{"repo_id":"utc","oai_identifier":"oai:scholar.utc.edu:theses-1390"},"canonical_url":"https://search.dev.ndltd.org/etd/utc/oai:scholar.utc.edu:theses-1390","repository":{"repo_id":"utc","name":"University of Tennessee - Chattanooga","base_url":"https://scholar.utc.edu/do/oai/"},"display":{"title":"Exploration of the effectiveness of Apple ios devices and bluetooth low-energy nodes in the evaulation of stroke patient rehabilitation and recovery","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.","abstract_html":"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. 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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."]},{"key":"dc:title","label":"Title","values":["Exploration of the effectiveness of Apple ios devices and bluetooth low-energy nodes in the evaulation of stroke patient rehabilitation and recovery"]}]}],"canonical_facts":{"dc:contributor":["Sartipi, Mina","Kizza, Joseph; Yang, Li","College of Engineering and Computer Science"],"dc:creator":["Derveloy, Robert"],"dc:date":["2012-12-01T08:00:00Z"],"dc:description":["Dept. of Computer Science and Engineering","M. 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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."],"dc:identifier":["https://scholar.utc.edu/theses/250"],"dc:language":["English","eng"],"dc:publisher":["University of Tennessee at Chattanooga","Chattanooga (Tenn.)"],"dc:relation":["Masters Theses and Doctoral Dissertations"],"dc:rights":["https://rightsstatements.org/page/InC/1.0/?language=en"],"dc:subject":["Biomedical engineering","Self-help devices for people with disabilities"],"dc:title":["Exploration of the effectiveness of Apple ios devices and bluetooth low-energy nodes in the evaulation of stroke patient rehabilitation and recovery"],"dc:type":["Masters theses","Text"]},"updated_at":"2026-07-24T05:46:19Z"}