Estimation of Spatiotemporal Gait Parameters in Walking on a Photoelectric System: Validation on Healthy Children by Standard Gait Analysis.
child
gait analysis
kinematics
photoelectric system
rehabilitation
walking
Journal
Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366
Informations de publication
Date de publication:
30 Jun 2023
30 Jun 2023
Historique:
received:
09
05
2023
revised:
22
06
2023
accepted:
27
06
2023
medline:
17
7
2023
pubmed:
14
7
2023
entrez:
14
7
2023
Statut:
epublish
Résumé
The use of stereophotogrammetry systems is challenging when targeting children's gait analysis due to the time required and the need to keep physical markers in place. For this reason, marker-less photoelectric systems appear to be a solution for accurate and fast gait analysis in youth. The aim of this study is to validate a photoelectric system and its configurations (LED filter setting) on healthy children, comparing the kinematic gait parameters with those obtained from a three-dimensional stereophotogrammetry system. Twenty-seven healthy children were enrolled. Three LED filter settings for the OptoGait were compared to the BTS P6000. The analysis included the non-parametric 80% limits of agreement and the intraclass correlation coefficient (ICC). Additionally, normalised limits of agreement and bias (NLoAs and Nbias) were compared to the clinical experience of physical therapists (i.e., assuming an error lower than 5% is acceptable). ICCs showed excellent consistency for most of the parameters and filter settings; NLoAs varied between 1.39% and 12.62%. An inverse association between the number of LEDs for filter setting and the bias values was also observed. Observations confirm the validity of the OptoGait system for the evaluation of spatiotemporal gait parameters in children.
Identifiants
pubmed: 37447908
pii: s23136059
doi: 10.3390/s23136059
pmc: PMC10346440
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : Italian Ministry of Health
ID : "Ricerca Corrente RC2020-2022"
Organisme : Italian Ministry of Health
ID : "5x1000 A.F.2018 project"
Organisme : Italian Ministry of Health
ID : "5x1000 A.F.2019 project"
Organisme : Italian Ministry of University
ID : "TRAINED project _ PRIN 2017 grant number 2017L2RLZ2"
Organisme : Italian neuroscience and neurorehabilitation research hospitals network
ID : "Rete IRCCS delle Neuroscienze e della Neuroriabilitazione"
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