A multidirectional gravity-assist algorithm that enhances locomotor control in patients with stroke or spinal cord injury.

Détails

ID Serval
serval:BIB_19CDDE82B1B7
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
A multidirectional gravity-assist algorithm that enhances locomotor control in patients with stroke or spinal cord injury.
Périodique
Science translational medicine
Auteur(s)
Mignardot J.B., Le Goff C.G., van den Brand R., Capogrosso M., Fumeaux N., Vallery H., Anil S., Lanini J., Fodor I., Eberle G., Ijspeert A., Schurch B., Curt A., Carda S., Bloch J., von Zitzewitz J., Courtine G.
ISSN
1946-6242 (Electronic)
ISSN-L
1946-6234
Statut éditorial
Publié
Date de publication
19/07/2017
Peer-reviewed
Oui
Volume
9
Numéro
399
Pages
eaah3621
Langue
anglais
Notes
Publication types: Journal Article
Publication Status: ppublish
Résumé
Gait recovery after neurological disorders requires remastering the interplay between body mechanics and gravitational forces. Despite the importance of gravity-dependent gait interactions and active participation for promoting this learning, these essential components of gait rehabilitation have received comparatively little attention. To address these issues, we developed an adaptive algorithm that personalizes multidirectional forces applied to the trunk based on patient-specific motor deficits. Implementation of this algorithm in a robotic interface reestablished gait dynamics during highly participative locomotion within a large and safe environment. This multidirectional gravity-assist enabled natural walking in nonambulatory individuals with spinal cord injury or stroke and enhanced skilled locomotor control in the less-impaired subjects. A 1-hour training session with multidirectional gravity-assist improved locomotor performance tested without robotic assistance immediately after training, whereas walking the same distance on a treadmill did not ameliorate gait. These results highlight the importance of precise trunk support to deliver gait rehabilitation protocols and establish a practical framework to apply these concepts in clinical routine.

Mots-clé
Algorithms, Gait/physiology, Humans, Locomotion/physiology, Robotics, Spinal Cord Injuries/rehabilitation, Stroke Rehabilitation/methods
Pubmed
Web of science
Open Access
Oui
Création de la notice
04/09/2017 10:55
Dernière modification de la notice
20/08/2019 13:50
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