It takes a graduate student to think up these innovative ideas.
Objective real-time motion analysis using wearable devices for post stroke rehabilitation
Committee Chair
Sartipi, MinaCommittee Member
Yang, Li; Liang, Yu; Ward, MikeDepartment
Dept. of Computer Science and EngineeringCollege
College of Engineering and Computer SciencePublisher
University of Tennessee at ChattanoogaPlace of Publication
Chattanooga (Tenn.)Abstract
With the growing population of the elderly, there is an increasing need for reliable, inexpensive, and quantifiable clinical measures. This thesis proposes mStroke, a practical, accurate, and mobile health system that remotely measures a stroke patient's proficiency in standard post-stroke therapy activities. The proposed system is delivered as an application (App) running on a hardware system consisting of two bluetooth low energy (BLE) modular sensor devices and an iPad. The system uses accelerometers, gyroscopes, and magnetometers to measure movement during three single-tasked clinical activities: the functional reach test, the NIHSS motor arm test, and the NIHSS motor leg test. The proposed system has been extensively tested using emulated and real data from physical therapy students. Key Words: Motion Analysis, Stroke, Functional Reach, NIHSS.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
12-2015Subject
Motor ability -- Testing; Cerebrovascular disease -- Patients -- Rehabilitation; Human-computer interactionKeyword
Motion Analysis; Stroke; Functional Reach; NIHSSDiscipline
Computer SciencesDocument Type
Masters thesesExtent
x, 46 leavesLanguage
EnglishRights
Under copyright.License
http://creativecommons.org/licenses/by-nc-nd/3.0/Recommended Citation
Allen, Brandon J., "Objective real-time motion analysis using wearable devices for post stroke rehabilitation" (2015). Masters Theses and Doctoral Dissertations.http://scholar.utc.edu/theses/437
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