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Real-time foot clearance biofeedback to assist gait rehabilitation following stroke: a randomized controlled trial protocol.

Identifieur interne : 000742 ( Main/Exploration ); précédent : 000741; suivant : 000743

Real-time foot clearance biofeedback to assist gait rehabilitation following stroke: a randomized controlled trial protocol.

Auteurs : Rezaul Begg [Australie] ; Mary P. Galea [Australie] ; Lisa James [Australie] ; W A Tony Sparrow [Australie] ; Pazit Levinger [Australie] ; Fary Khan [Australie] ; Catherine M. Said [Australie]

Source :

RBID : pubmed:31151480

Descripteurs français

English descriptors

Abstract

BACKGROUND

The risk of falling is significantly higher in people with chronic stroke and it is, therefore, important to design interventions to improve mobility and decrease falls risk. Minimum toe clearance (MTC) is the key gait cycle event for predicting tripping-falls because it occurs mid-swing during the walking cycle where forward velocity of the foot is maximum. High forward velocity coupled with low MTC increases the probability of unanticipated foot-ground contacts. Training procedures to increase toe-ground clearance (MTC) have potential, therefore, as a falls-prevention intervention. The aim of this project is to determine whether augmented sensory information via real-time visual biofeedback during gait training can increase MTC.

METHODS

Participants will be aged > 18 years, have sustained a single stroke (ischemic or hemorrhagic) at least six months previously, able to walk 50 m independently, and capable of informed consent. Using a secure web-based application (REDCap), 150 participants will be randomly assigned to either no-feedback (Control) or feedback (Experimental) groups; all will receive 10 sessions of treadmill training for up to 10 min at a self-selected speed over 5-6 weeks. The intervention group will receive real-time, visual biofeedback of MTC during training and will be asked to modify their gait pattern to match a required "target" criterion. Biofeedback is continuous for the first six sessions then progressively reduced (faded) across the remaining four sessions. Control participants will walk on the treadmill without biofeedback. Gait assessments are conducted at baseline, immediately following the final training session and then during follow-up, at one, three, and six months. The primary outcome measure is MTC. Monthly falls calendars will also be collected for 12 months from enrolment.

DISCUSSION

The project will contribute to understanding how stroke-related changes to sensory and motor processes influence gait biomechanics and associated tripping risk. The research findings will guide our work in gait rehabilitation following stroke and may reduce falls rates. Treadmill training procedures incorporating continuous real-time feedback may need to be modified to accommodate stroke patients who have greater difficulties with treadmill walking.

TRIAL REGISTRATION

Australia New Zealand Clinical Trials Registry, ACTRN12617000250336 . Registered on 17 February 2017.


DOI: 10.1186/s13063-019-3404-6
PubMed: 31151480
PubMed Central: PMC6545011


Affiliations:


Links toward previous steps (curation, corpus...)


Le document en format XML

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<term>Accidental Falls (prevention & control)</term>
<term>Biofeedback, Psychology (MeSH)</term>
<term>Data Management (MeSH)</term>
<term>Gait (physiology)</term>
<term>Humans (MeSH)</term>
<term>Outcome Assessment, Health Care (MeSH)</term>
<term>Randomized Controlled Trials as Topic (MeSH)</term>
<term>Sample Size (MeSH)</term>
<term>Stroke (complications)</term>
<term>Stroke Rehabilitation (methods)</term>
<term>Toes (physiology)</term>
<term>Walking (physiology)</term>
</keywords>
<keywords scheme="KwdFr" xml:lang="fr">
<term>Accident vasculaire cérébral (complications)</term>
<term>Chutes accidentelles (prévention et contrôle)</term>
<term>Démarche (physiologie)</term>
<term>Essais contrôlés randomisés comme sujet (MeSH)</term>
<term>Humains (MeSH)</term>
<term>Marche à pied (physiologie)</term>
<term>Orteils (physiologie)</term>
<term>Réadaptation après un accident vasculaire cérébral (méthodes)</term>
<term>Rétroaction biologique (psychologie) (MeSH)</term>
<term>Taille de l'échantillon (MeSH)</term>
</keywords>
<keywords scheme="MESH" qualifier="complications" xml:lang="en">
<term>Stroke</term>
</keywords>
<keywords scheme="MESH" qualifier="methods" xml:lang="en">
<term>Stroke Rehabilitation</term>
</keywords>
<keywords scheme="MESH" qualifier="méthodes" xml:lang="fr">
<term>Réadaptation après un accident vasculaire cérébral</term>
</keywords>
<keywords scheme="MESH" qualifier="physiologie" xml:lang="fr">
<term>Démarche</term>
<term>Marche à pied</term>
<term>Orteils</term>
</keywords>
<keywords scheme="MESH" qualifier="physiology" xml:lang="en">
<term>Gait</term>
<term>Toes</term>
<term>Walking</term>
</keywords>
<keywords scheme="MESH" qualifier="prevention & control" xml:lang="en">
<term>Accidental Falls</term>
</keywords>
<keywords scheme="MESH" qualifier="prévention et contrôle" xml:lang="fr">
<term>Chutes accidentelles</term>
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<term>Biofeedback, Psychology</term>
<term>Data Management</term>
<term>Humans</term>
<term>Outcome Assessment, Health Care</term>
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<term>Accident vasculaire cérébral</term>
<term>Essais contrôlés randomisés comme sujet</term>
<term>Humains</term>
<term>Rétroaction biologique (psychologie)</term>
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<p>
<b>BACKGROUND</b>
</p>
<p>The risk of falling is significantly higher in people with chronic stroke and it is, therefore, important to design interventions to improve mobility and decrease falls risk. Minimum toe clearance (MTC) is the key gait cycle event for predicting tripping-falls because it occurs mid-swing during the walking cycle where forward velocity of the foot is maximum. High forward velocity coupled with low MTC increases the probability of unanticipated foot-ground contacts. Training procedures to increase toe-ground clearance (MTC) have potential, therefore, as a falls-prevention intervention. The aim of this project is to determine whether augmented sensory information via real-time visual biofeedback during gait training can increase MTC.</p>
</div>
<div type="abstract" xml:lang="en">
<p>
<b>METHODS</b>
</p>
<p>Participants will be aged > 18 years, have sustained a single stroke (ischemic or hemorrhagic) at least six months previously, able to walk 50 m independently, and capable of informed consent. Using a secure web-based application (REDCap), 150 participants will be randomly assigned to either no-feedback (Control) or feedback (Experimental) groups; all will receive 10 sessions of treadmill training for up to 10 min at a self-selected speed over 5-6 weeks. The intervention group will receive real-time, visual biofeedback of MTC during training and will be asked to modify their gait pattern to match a required "target" criterion. Biofeedback is continuous for the first six sessions then progressively reduced (faded) across the remaining four sessions. Control participants will walk on the treadmill without biofeedback. Gait assessments are conducted at baseline, immediately following the final training session and then during follow-up, at one, three, and six months. The primary outcome measure is MTC. Monthly falls calendars will also be collected for 12 months from enrolment.</p>
</div>
<div type="abstract" xml:lang="en">
<p>
<b>DISCUSSION</b>
</p>
<p>The project will contribute to understanding how stroke-related changes to sensory and motor processes influence gait biomechanics and associated tripping risk. The research findings will guide our work in gait rehabilitation following stroke and may reduce falls rates. Treadmill training procedures incorporating continuous real-time feedback may need to be modified to accommodate stroke patients who have greater difficulties with treadmill walking.</p>
</div>
<div type="abstract" xml:lang="en">
<p>
<b>TRIAL REGISTRATION</b>
</p>
<p>Australia New Zealand Clinical Trials Registry, ACTRN12617000250336 . Registered on 17 February 2017.</p>
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<Month>12</Month>
<Day>20</Day>
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<Month>02</Month>
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<Issue>1</Issue>
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<AbstractText Label="BACKGROUND" NlmCategory="BACKGROUND">The risk of falling is significantly higher in people with chronic stroke and it is, therefore, important to design interventions to improve mobility and decrease falls risk. Minimum toe clearance (MTC) is the key gait cycle event for predicting tripping-falls because it occurs mid-swing during the walking cycle where forward velocity of the foot is maximum. High forward velocity coupled with low MTC increases the probability of unanticipated foot-ground contacts. Training procedures to increase toe-ground clearance (MTC) have potential, therefore, as a falls-prevention intervention. The aim of this project is to determine whether augmented sensory information via real-time visual biofeedback during gait training can increase MTC.</AbstractText>
<AbstractText Label="METHODS" NlmCategory="METHODS">Participants will be aged > 18 years, have sustained a single stroke (ischemic or hemorrhagic) at least six months previously, able to walk 50 m independently, and capable of informed consent. Using a secure web-based application (REDCap), 150 participants will be randomly assigned to either no-feedback (Control) or feedback (Experimental) groups; all will receive 10 sessions of treadmill training for up to 10 min at a self-selected speed over 5-6 weeks. The intervention group will receive real-time, visual biofeedback of MTC during training and will be asked to modify their gait pattern to match a required "target" criterion. Biofeedback is continuous for the first six sessions then progressively reduced (faded) across the remaining four sessions. Control participants will walk on the treadmill without biofeedback. Gait assessments are conducted at baseline, immediately following the final training session and then during follow-up, at one, three, and six months. The primary outcome measure is MTC. Monthly falls calendars will also be collected for 12 months from enrolment.</AbstractText>
<AbstractText Label="DISCUSSION" NlmCategory="CONCLUSIONS">The project will contribute to understanding how stroke-related changes to sensory and motor processes influence gait biomechanics and associated tripping risk. The research findings will guide our work in gait rehabilitation following stroke and may reduce falls rates. Treadmill training procedures incorporating continuous real-time feedback may need to be modified to accommodate stroke patients who have greater difficulties with treadmill walking.</AbstractText>
<AbstractText Label="TRIAL REGISTRATION" NlmCategory="BACKGROUND">Australia New Zealand Clinical Trials Registry, ACTRN12617000250336 . Registered on 17 February 2017.</AbstractText>
</Abstract>
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<Affiliation>Institute for Health and Sport (IHES), Victoria University, Footscray Park Campus (Room PB307), PO Box 14428, Melbourne, VIC, 8001, Australia. rezaul.begg@vu.edu.au.</Affiliation>
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