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    A Mobile Gait Monitoring System for Abnormal Gait Diagnosis and Rehabilitation: A Pilot Study for Parkinson Disease Patients

    Source: Journal of Biomechanical Engineering:;2011:;volume( 133 ):;issue: 004::page 41005
    Author:
    Joonbum Bae
    ,
    Kyoungchul Kong
    ,
    Nancy Byl
    ,
    Masayoshi Tomizuka
    DOI: 10.1115/1.4003525
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Conventional 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.
    keyword(s): Force , Diseases , Feedback , Monitoring systems , Patient diagnosis , Patient rehabilitation , Signals , Motion , Sensors AND Gait analysis ,
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      A Mobile Gait Monitoring System for Abnormal Gait Diagnosis and Rehabilitation: A Pilot Study for Parkinson Disease Patients

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    https://yetl.yabesh.ir/yetl1/handle/yetl/145459
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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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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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