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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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