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    Gait Initiation With Electromyographically Triggered Electrical Stimulation in People With Partial Paralysis

    Source: Journal of Biomechanical Engineering:;2009:;volume( 131 ):;issue: 008::page 81002
    Author:
    Anirban Dutta
    ,
    Rudi Kobetic
    ,
    Ronald J. Triolo
    DOI: 10.1115/1.3086356
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Functional electrical stimulation (FES) facilitates ambulatory function after paralysis by activating the muscles of the lower extremities. Individuals with incomplete spinal cord injury (iSCI) retain partial volitional control of muscles below the level of injury, necessitating careful integration of FES with intact voluntary motor function for efficient walking. The FES-assisted stepping can be triggered automatically at a fixed rate (autotrigger), by a manual switch (switch-trigger), or by an electromyogram-based gait-event-detector (EMG-trigger). It has been postulated that EMG may be a more natural command source than manual switches, and therefore will enable better coordination of stimulated and volitional motor functions necessary during gait. In this study, the above stated hypothesis was investigated in two volunteers with iSCI during the over-ground FES-assisted gait initiation. Four able-bodied volunteers provided the normative data for comparison. The EMG-triggered FES-assisted gait initiation was found to be more coordinated and dynamically more stable than autotriggered and switch-triggered cases. This highlighted the potential of surface EMG as a natural command interface to better coordinate stimulated and volitional muscle activities during gait.
    keyword(s): Motion , Electromyography , Muscle , Regression models , Steady state , Switches , Stability , Wounds , Spinal cord , Engines , Sensors , Dimensions AND Cycles ,
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      Gait Initiation With Electromyographically Triggered Electrical Stimulation in People With Partial Paralysis

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    • Journal of Biomechanical Engineering

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    contributor authorAnirban Dutta
    contributor authorRudi Kobetic
    contributor authorRonald J. Triolo
    date accessioned2017-05-09T00:31:33Z
    date available2017-05-09T00:31:33Z
    date copyrightAugust, 2009
    date issued2009
    identifier issn0148-0731
    identifier otherJBENDY-27015#081002_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/139872
    description abstractFunctional electrical stimulation (FES) facilitates ambulatory function after paralysis by activating the muscles of the lower extremities. Individuals with incomplete spinal cord injury (iSCI) retain partial volitional control of muscles below the level of injury, necessitating careful integration of FES with intact voluntary motor function for efficient walking. The FES-assisted stepping can be triggered automatically at a fixed rate (autotrigger), by a manual switch (switch-trigger), or by an electromyogram-based gait-event-detector (EMG-trigger). It has been postulated that EMG may be a more natural command source than manual switches, and therefore will enable better coordination of stimulated and volitional motor functions necessary during gait. In this study, the above stated hypothesis was investigated in two volunteers with iSCI during the over-ground FES-assisted gait initiation. Four able-bodied volunteers provided the normative data for comparison. The EMG-triggered FES-assisted gait initiation was found to be more coordinated and dynamically more stable than autotriggered and switch-triggered cases. This highlighted the potential of surface EMG as a natural command interface to better coordinate stimulated and volitional muscle activities during gait.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleGait Initiation With Electromyographically Triggered Electrical Stimulation in People With Partial Paralysis
    typeJournal Paper
    journal volume131
    journal issue8
    journal titleJournal of Biomechanical Engineering
    identifier doi10.1115/1.3086356
    journal fristpage81002
    identifier eissn1528-8951
    keywordsMotion
    keywordsElectromyography
    keywordsMuscle
    keywordsRegression models
    keywordsSteady state
    keywordsSwitches
    keywordsStability
    keywordsWounds
    keywordsSpinal cord
    keywordsEngines
    keywordsSensors
    keywordsDimensions AND Cycles
    treeJournal of Biomechanical Engineering:;2009:;volume( 131 ):;issue: 008
    contenttypeFulltext
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