What is the Best Configuration of Wearable Sensors to Measure Spatiotemporal Gait Parameters in Children with Cerebral Palsy?

Détails

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Etat: Public
Version: Final published version
Licence: CC BY 4.0
ID Serval
serval:BIB_259B3E227836
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
What is the Best Configuration of Wearable Sensors to Measure Spatiotemporal Gait Parameters in Children with Cerebral Palsy?
Périodique
Sensors
Auteur⸱e⸱s
Carcreff L., Gerber C.N., Paraschiv-Ionescu A., De Coulon G., Newman C.J., Armand S., Aminian K.
ISSN
1424-8220 (Electronic)
ISSN-L
1424-8220
Statut éditorial
Publié
Date de publication
30/01/2018
Peer-reviewed
Oui
Volume
18
Numéro
2
Pages
394
Langue
anglais
Notes
Publication types: Journal Article
Publication Status: epublish
Résumé
Wearable inertial devices have recently been used to evaluate spatiotemporal parameters of gait in daily life situations. Given the heterogeneity of gait patterns in children with cerebral palsy (CP), the sensor placement and analysis algorithm may influence the validity of the results. This study aimed at comparing the spatiotemporal measurement performances of three wearable configurations defined by different sensor positioning on the lower limbs: (1) shanks and thighs, (2) shanks, and (3) feet. The three configurations were selected based on their potential to be used in daily life for children with CP and typically developing (TD) controls. For each configuration, dedicated gait analysis algorithms were used to detect gait events and compute spatiotemporal parameters. Fifteen children with CP and 11 TD controls were included. Accuracy, precision, and agreement of the three configurations were determined in comparison with an optoelectronic system as a reference. The three configurations were comparable for the evaluation of TD children and children with a low level of disability (CP-GMFCS I) whereas the shank-and-thigh-based configuration was more robust regarding children with a higher level of disability (CP-GMFCS II-III).
Mots-clé
Biomechanical Phenomena, Cerebral Palsy, Child, Foot, Gait, Gait Disorders, Neurologic, Humans, Wearable Electronic Devices, cerebral palsy, gait, gait events, inertial sensors, spatiotemporal parameters
Pubmed
Web of science
Open Access
Oui
Création de la notice
30/04/2018 17:10
Dernière modification de la notice
20/08/2019 13:04
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