Abstract
In this paper we present our initial work on a mobile phone application for assisting stroke rehabilitation. We believe that using a mobile phone to administer and track stroke rehabilitation is novel. We call our system Dr. Droid and focus on the automated scoring of motions performed by patients being administered the Wolf Motor Function Test (WMFT) by placing a smart phone in a holster at the patients wrist. We have developed a complete software application that administers the test by giving audio and visual instructions. We collect a motion trace by sampling the 3-axis accelerometer available on the phone. We double-integrate the acceleration data and apply a novel reorientation algorithm to correct for mis-alignment of the accelerometer. Using dynamic time warping and hidden Markov models we assign an objective, quantitative score to the patient’s exercises. We validate our method by performing experiments designed to simulate the motions of a stroke patient.
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© 2012 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering
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Goodney, A., Jung, J., Needham, S., Poduri, S. (2012). Dr. Droid: Assisting Stroke Rehabilitation Using Mobile Phones. In: Gris, M., Yang, G. (eds) Mobile Computing, Applications, and Services. MobiCASE 2010. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 76. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29336-8_13
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DOI: https://doi.org/10.1007/978-3-642-29336-8_13
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-29335-1
Online ISBN: 978-3-642-29336-8
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