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contributor authorJoonbum Bae
contributor authorKyoungchul Kong
contributor authorNancy Byl
contributor authorMasayoshi Tomizuka
date accessioned2017-05-09T00:42:32Z
date available2017-05-09T00:42:32Z
date copyrightApril, 2011
date issued2011
identifier issn0148-0731
identifier otherJBENDY-27203#041005_1.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/145459
description abstractConventional gait rehabilitation treatment does not provide quantitative information on abnormal gait kinematics, and the match of the intervention strategy to the underlying clinical presentation may be limited by clinical expertise and experience. Also the effect of rehabilitation treatment may be reduced as the rehabilitation treatment is achieved only in a clinical setting. In this paper, a mobile gait monitoring system (MGMS) is proposed for the diagnosis of abnormal gait and rehabilitation. The proposed MGMS consists of Smart Shoes and a microsignal processor with a touch screen display. It monitors patients’ gait by observing the ground reaction force (GRF) and the center of GRF, and analyzes the gait abnormality. Since visual feedback about patients’ GRFs and normal GRF patterns are provided by the MGMS, patients can practice the rehabilitation treatment by trying to follow the normal GRF patterns without restriction of time and place. The gait abnormality proposed in this paper is defined by the deviation between the patient’s GRFs and normal GRF patterns, which are constructed as GRF bands. The effectiveness of the proposed gait analysis methods with the MGMS has been verified by preliminary trials with patients suffering from gait disorders.
publisherThe American Society of Mechanical Engineers (ASME)
titleA Mobile Gait Monitoring System for Abnormal Gait Diagnosis and Rehabilitation: A Pilot Study for Parkinson Disease Patients
typeJournal Paper
journal volume133
journal issue4
journal titleJournal of Biomechanical Engineering
identifier doi10.1115/1.4003525
journal fristpage41005
identifier eissn1528-8951
keywordsForce
keywordsDiseases
keywordsFeedback
keywordsMonitoring systems
keywordsPatient diagnosis
keywordsPatient rehabilitation
keywordsSignals
keywordsMotion
keywordsSensors AND Gait analysis
treeJournal of Biomechanical Engineering:;2011:;volume( 133 ):;issue: 004
contenttypeFulltext


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