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    Electromyogram-Triggered Functional Electrical Stimulation-Assisted Walking After Partial Paralysis

    Source: Journal of Medical Devices:;2008:;volume( 002 ):;issue: 002::page 27565
    Author:
    Anirban Dutta
    ,
    Rudi Kobetic
    ,
    Ronald Triolo
    DOI: 10.1115/1.2936207
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Objective: Functional Electrical Stimulation (FES) triggered by manual switch provides brace-free ambulation to wheelchair dependent individuals with spinal cord injuries. An electromyogram (EMG)-based trigger can enhance the coordination between FES-assisted and volitional actions. This study evaluated the gait speed modulation and coordination of the actions of the EMG-triggered FES with the volitional movements during stand-to-walk transition after incomplete spinal cord injury. Methods: two incomplete spinal cord injured (iSCI) subjects (iSCI1: 24years, C7 motor & C6 sensory; iSCI2: 34years, T1 motor & C5 sensory) volunteered for this study. Four able-bodied volunteers provided the normative gait data. The Vicon WorkstationTM (Vicon Peak, USA) software acquired lower-body kinematics data using a seven camera motion capture system during stand-to-walk transition. The FES-assisted swing-phase in iSCI subjects was triggered with three command interfaces—manually triggered with a switch, triggered with EMG-based GED, triggered automatically at a user-selected rate. Results and Discussion: The Euclidean distance from origin of the perturbations of 18 joint angles and 18 joint velocities during stand-to-walk transition converged towards zero. It was found from the Mahalanobis distances between each pair of group means that the EMG-triggered FES-assisted iSCI gait was closest to the able-bodied normative gait clusters.
    keyword(s): Electromyography ,
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      Electromyogram-Triggered Functional Electrical Stimulation-Assisted Walking After Partial Paralysis

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    http://yetl.yabesh.ir/yetl1/handle/yetl/139076
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    contributor authorAnirban Dutta
    contributor authorRudi Kobetic
    contributor authorRonald Triolo
    date accessioned2017-05-09T00:30:01Z
    date available2017-05-09T00:30:01Z
    date copyrightJune, 2008
    date issued2008
    identifier issn1932-6181
    identifier otherJMDOA4-27991#027565_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/139076
    description abstractObjective: Functional Electrical Stimulation (FES) triggered by manual switch provides brace-free ambulation to wheelchair dependent individuals with spinal cord injuries. An electromyogram (EMG)-based trigger can enhance the coordination between FES-assisted and volitional actions. This study evaluated the gait speed modulation and coordination of the actions of the EMG-triggered FES with the volitional movements during stand-to-walk transition after incomplete spinal cord injury. Methods: two incomplete spinal cord injured (iSCI) subjects (iSCI1: 24years, C7 motor & C6 sensory; iSCI2: 34years, T1 motor & C5 sensory) volunteered for this study. Four able-bodied volunteers provided the normative gait data. The Vicon WorkstationTM (Vicon Peak, USA) software acquired lower-body kinematics data using a seven camera motion capture system during stand-to-walk transition. The FES-assisted swing-phase in iSCI subjects was triggered with three command interfaces—manually triggered with a switch, triggered with EMG-based GED, triggered automatically at a user-selected rate. Results and Discussion: The Euclidean distance from origin of the perturbations of 18 joint angles and 18 joint velocities during stand-to-walk transition converged towards zero. It was found from the Mahalanobis distances between each pair of group means that the EMG-triggered FES-assisted iSCI gait was closest to the able-bodied normative gait clusters.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleElectromyogram-Triggered Functional Electrical Stimulation-Assisted Walking After Partial Paralysis
    typeJournal Paper
    journal volume2
    journal issue2
    journal titleJournal of Medical Devices
    identifier doi10.1115/1.2936207
    journal fristpage27565
    identifier eissn1932-619X
    keywordsElectromyography
    treeJournal of Medical Devices:;2008:;volume( 002 ):;issue: 002
    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
    yabeshDSpacePersian