HapticV1, PubMed, Checkpoint, bibRecord, 000933

EMG-based visual-haptic biofeedback: a tool to improve motor control in children with primary dystonia.

Identifieur interne : 000933 ( PubMed/Checkpoint ); précédent : 000932; suivant : 000934

EMG-based visual-haptic biofeedback: a tool to improve motor control in children with primary dystonia.

Auteurs : Claudia Casellato [Italie] ; Alessandra Pedrocchi ; Giovanna Zorzi ; Lea Vernisse ; Giancarlo Ferrigno ; Nardo Nardocci

Source :

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society [ 1558-0210 ] ; 2013.

RBID : pubmed:23060345

English descriptors

KwdEn :
- Adolescent, Adult, Biofeedback, Psychology (methods), Child, Dystonia (diagnosis), Dystonia (physiopathology), Dystonia (rehabilitation), Electromyography (methods), Female, Humans, Male, Psychomotor Performance, Therapy, Computer-Assisted (methods), Touch, Treatment Outcome, Visual Perception, Young Adult.
MESH :
- diagnosis : Dystonia.
- methods : Biofeedback, Psychology, Electromyography, Therapy, Computer-Assisted.
- physiopathology : Dystonia.
- rehabilitation : Dystonia.
- Adolescent, Adult, Child, Female, Humans, Male, Psychomotor Performance, Touch, Treatment Outcome, Visual Perception, Young Adult.

Abstract

New insights suggest that dystonic motor impairments could also involve a deficit of sensory processing. In this framework, biofeedback, making covert physiological processes more overt, could be useful. The present work proposes an innovative integrated setup which provides the user with an electromyogram (EMG)-based visual-haptic biofeedback during upper limb movements (spiral tracking tasks), to test if augmented sensory feedbacks can induce motor control improvement in patients with primary dystonia. The ad hoc developed real-time control algorithm synchronizes the haptic loop with the EMG reading; the brachioradialis EMG values were used to modify visual and haptic features of the interface: the higher was the EMG level, the higher was the virtual table friction and the background color proportionally moved from green to red. From recordings on dystonic and healthy subjects, statistical results showed that biofeedback has a significant impact, correlated with the local impairment, on the dystonic muscular control. These tests pointed out the effectiveness of biofeedback paradigms in gaining a better specific-muscle voluntary motor control. The flexible tool developed here shows promising prospects of clinical applications and sensorimotor rehabilitation.

DOI: 10.1109/TNSRE.2012.2222445
PubMed: 23060345

Affiliations:

Italie

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pubmed:23060345

Le document en format XML

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<author><name sortKey="Casellato, Claudia" sort="Casellato, Claudia" uniqKey="Casellato C" first="Claudia" last="Casellato">Claudia Casellato</name>
<affiliation wicri:level="1"><nlm:affiliation>Bioengineering Department, Politecnico di Milano, 20133 Milano, Italy. claudia.casellato@mail.polimi.it</nlm:affiliation>
<country xml:lang="fr">Italie</country>
<wicri:regionArea>Bioengineering Department, Politecnico di Milano, 20133 Milano</wicri:regionArea>
<wicri:noRegion>20133 Milano</wicri:noRegion>
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<author><name sortKey="Pedrocchi, Alessandra" sort="Pedrocchi, Alessandra" uniqKey="Pedrocchi A" first="Alessandra" last="Pedrocchi">Alessandra Pedrocchi</name>
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<author><name sortKey="Zorzi, Giovanna" sort="Zorzi, Giovanna" uniqKey="Zorzi G" first="Giovanna" last="Zorzi">Giovanna Zorzi</name>
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<author><name sortKey="Vernisse, Lea" sort="Vernisse, Lea" uniqKey="Vernisse L" first="Lea" last="Vernisse">Lea Vernisse</name>
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<author><name sortKey="Ferrigno, Giancarlo" sort="Ferrigno, Giancarlo" uniqKey="Ferrigno G" first="Giancarlo" last="Ferrigno">Giancarlo Ferrigno</name>
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<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adolescent</term>
<term>Adult</term>
<term>Biofeedback, Psychology (methods)</term>
<term>Child</term>
<term>Dystonia (diagnosis)</term>
<term>Dystonia (physiopathology)</term>
<term>Dystonia (rehabilitation)</term>
<term>Electromyography (methods)</term>
<term>Female</term>
<term>Humans</term>
<term>Male</term>
<term>Psychomotor Performance</term>
<term>Therapy, Computer-Assisted (methods)</term>
<term>Touch</term>
<term>Treatment Outcome</term>
<term>Visual Perception</term>
<term>Young Adult</term>
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<term>Electromyography</term>
<term>Therapy, Computer-Assisted</term>
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<term>Adult</term>
<term>Child</term>
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<term>Humans</term>
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<front><div type="abstract" xml:lang="en">New insights suggest that dystonic motor impairments could also involve a deficit of sensory processing. In this framework, biofeedback, making covert physiological processes more overt, could be useful. The present work proposes an innovative integrated setup which provides the user with an electromyogram (EMG)-based visual-haptic biofeedback during upper limb movements (spiral tracking tasks), to test if augmented sensory feedbacks can induce motor control improvement in patients with primary dystonia. The ad hoc developed real-time control algorithm synchronizes the haptic loop with the EMG reading; the brachioradialis EMG values were used to modify visual and haptic features of the interface: the higher was the EMG level, the higher was the virtual table friction and the background color proportionally moved from green to red. From recordings on dystonic and healthy subjects, statistical results showed that biofeedback has a significant impact, correlated with the local impairment, on the dystonic muscular control. These tests pointed out the effectiveness of biofeedback paradigms in gaining a better specific-muscle voluntary motor control. The flexible tool developed here shows promising prospects of clinical applications and sensorimotor rehabilitation.</div>
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<Abstract><AbstractText>New insights suggest that dystonic motor impairments could also involve a deficit of sensory processing. In this framework, biofeedback, making covert physiological processes more overt, could be useful. The present work proposes an innovative integrated setup which provides the user with an electromyogram (EMG)-based visual-haptic biofeedback during upper limb movements (spiral tracking tasks), to test if augmented sensory feedbacks can induce motor control improvement in patients with primary dystonia. The ad hoc developed real-time control algorithm synchronizes the haptic loop with the EMG reading; the brachioradialis EMG values were used to modify visual and haptic features of the interface: the higher was the EMG level, the higher was the virtual table friction and the background color proportionally moved from green to red. From recordings on dystonic and healthy subjects, statistical results showed that biofeedback has a significant impact, correlated with the local impairment, on the dystonic muscular control. These tests pointed out the effectiveness of biofeedback paradigms in gaining a better specific-muscle voluntary motor control. The flexible tool developed here shows promising prospects of clinical applications and sensorimotor rehabilitation.</AbstractText>
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EMG-based visual-haptic biofeedback: a tool to improve motor control in children with primary dystonia.

EMG-based visual-haptic biofeedback: a tool to improve motor control in children with primary dystonia.

Source :

English descriptors

Abstract

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

Links to Exploration step

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri

Pour générer des pages wiki