EMG Biofeedback Videogame System for the Gait Rehabilitation of Hemiparetic Individuals

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dc.contributor.advisorAbshire, Pamela
dc.contributor.authorBardack, Avi
dc.contributor.authorBhandari, Pratik
dc.contributor.authorDoggett, James
dc.contributor.authorEpstein, Maxwell
dc.contributor.authorGagliolo, Nicolas
dc.contributor.authorGraff, Steven
dc.contributor.authorLi, Erik
dc.contributor.authorPetro, Elaine
dc.contributor.authorSailey, Mark
dc.contributor.authorSalaets, Natalie
dc.contributor.authorTousley, Benjamin
dc.contributor.authorTurner, John
dc.date.accessioned2010-05-25T20:10:33Z
dc.date.available2010-05-25T20:10:33Z
dc.date.issued2010
dc.descriptionGemstone Team CHIP
dc.description.abstractWe report a novel approach to electromyographic (EMG) biofeedback for post-stroke hemiparetic gait rehabilitation, using a videogame. An integrated hardware/software system facilitates gameplay of Tiger Woods PGA Tour 2004 in driving range mode by performing rehabilitation exercises. Real-time visual EMG biofeedback is provided as the patient performs exercises. Custom-built bioamplifiers and software collect, amplify, and filter the surface EMG signals from six lower-limb muscles, and score them by feature extraction. The ball is driven a distance proportional to each score. Exercises are scored by comparing the patient's EMG activation with target profiles. The user-friendly system is controlled by prompts on a personal computer. We envision two major benefits from this system. First, the biofeedback is offered in real-time, in a clear, intuitive form, and coupled with task-specific motions. Second, we hypothesize that adopting rehabilitation exercises to control a fun videogame will lead to greater adherence to the exercise regime, with accompanying improvements in gait.en_US
dc.identifier.urihttp://hdl.handle.net/1903/10082
dc.language.isoen_USen_US
dc.relation.isAvailableAtDigital Repository at the University of Maryland
dc.relation.isAvailableAtGemstone Program, University of Maryland (College Park, Md)
dc.subjectEMGen_US
dc.subjectElectromyographic Biofeedbacken_US
dc.subjectHemiparetic gaiten_US
dc.subjectVideogamesen_US
dc.subjectGemstone Team CHIP
dc.titleEMG Biofeedback Videogame System for the Gait Rehabilitation of Hemiparetic Individualsen_US
dc.typeThesisen_US

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