Gait event detection using kinematic data in children with bilateral spastic cerebral palsy

Background: Ground reaction forces are the gold standard for detecting gait events, but they are not always applicable in cerebral palsy. Ghoussayni's algorithm is an event detection method based on the sagittal plane velocity of heel and toe markers. We aimed to evaluate whether Ghoussayni...

Descripción completa

Detalles Bibliográficos
Autores: Gómez-Pérez C, Martori JC, Puig Diví A, Medina Casanovas J, Vidal Samsó J, Font-Llagunes JM
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2021
País:España
Institución:Fundació Sant Joan de Déu
Repositorio:r-FSJD. Repositorio Institucional de Producción Científica de la Fundació Sant Joan de Déu
OAI Identifier:oai:fsjd.fundanetsuite.com:p20183
Acceso en línea:https://fsjd.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=20183
https://www.sciencedirect.com/science/article/pii/S0268003321002229?via%3Dihub
Access Level:acceso abierto
Palabra clave:Gait analysis
Event detection
Kinematics
Child
Spastic cerebral palsy
id ES_6dc5bab7cd2ca5a79c81a5a00a291fdc
oai_identifier_str oai:fsjd.fundanetsuite.com:p20183
network_acronym_str ES
network_name_str España
repository_id_str
spelling Gait event detection using kinematic data in children with bilateral spastic cerebral palsyGómez-Pérez CMartori JCPuig Diví AMedina Casanovas JVidal Samsó JFont-Llagunes JMGait analysisEvent detectionKinematicsChildSpastic cerebral palsyBackground: Ground reaction forces are the gold standard for detecting gait events, but they are not always applicable in cerebral palsy. Ghoussayni's algorithm is an event detection method based on the sagittal plane velocity of heel and toe markers. We aimed to evaluate whether Ghoussayni's algorithm, using two different thresholds, was a valid event detection method in children with bilateral spastic cerebral palsy. We also aimed to define a new adaptation of Ghoussayni's algorithm for detecting foot strike in cerebral palsy, and study the effect of event detection methods on spatiotemporal parameters. Methods: Synchronized kinematic and kinetic data were collected retrospectively from 16 children with bilateral spastic cerebral palsy (7 males and 9 females; age 8.9 +/- 2.7 years) walking barefoot at self-selected speed. Gait events were detected using methods: 1) ground reaction forces, 2) Ghoussayni's algorithm with a threshold of 0.5 m/s, and 3) Ghoussayni's algorithm with a walking speed dependent threshold. The new adaptation distinguished how foot strikes were performed (heel and/or toe) comparing the timing when the foot markers velocities fell below the threshold. Differences between the three methods, and between spatiotemporal parameters calculated from the two Ghoussayni's thresholds were analyzed. Findings: There were statistically significant (P < 0.05) differences between methods 1 and 3, and between some spatiotemporal parameters calculated from methods 2 and 3. Ghoussayni's algorithm showed better performance for foot strike than for toe off. Interpretation: Ghoussayni's algorithm using 0.5 m/s is valid in children with bilateral spastic cerebral palsy. Event detection methods affect spatiotemporal parameters.ELSEVIER SCI LTD2021info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttps://fsjd.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=20183https://www.sciencedirect.com/science/article/pii/S0268003321002229?via%3DihubCLINICAL BIOMECHANICSISSN: 02680033ISSNe: 18791271reponame:r-FSJD. Repositorio Institucional de Producción Científica de la Fundació Sant Joan de Déuinstname:Fundació Sant Joan de DéuInglésinfo:eu-repo/semantics/openAccessoai:fsjd.fundanetsuite.com:p201832026-05-27T12:37:41Z
dc.title.none.fl_str_mv Gait event detection using kinematic data in children with bilateral spastic cerebral palsy
title Gait event detection using kinematic data in children with bilateral spastic cerebral palsy
spellingShingle Gait event detection using kinematic data in children with bilateral spastic cerebral palsy
Gómez-Pérez C
Gait analysis
Event detection
Kinematics
Child
Spastic cerebral palsy
title_short Gait event detection using kinematic data in children with bilateral spastic cerebral palsy
title_full Gait event detection using kinematic data in children with bilateral spastic cerebral palsy
title_fullStr Gait event detection using kinematic data in children with bilateral spastic cerebral palsy
title_full_unstemmed Gait event detection using kinematic data in children with bilateral spastic cerebral palsy
title_sort Gait event detection using kinematic data in children with bilateral spastic cerebral palsy
dc.creator.none.fl_str_mv Gómez-Pérez C
Martori JC
Puig Diví A
Medina Casanovas J
Vidal Samsó J
Font-Llagunes JM
author Gómez-Pérez C
author_facet Gómez-Pérez C
Martori JC
Puig Diví A
Medina Casanovas J
Vidal Samsó J
Font-Llagunes JM
author_role author
author2 Martori JC
Puig Diví A
Medina Casanovas J
Vidal Samsó J
Font-Llagunes JM
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv Gait analysis
Event detection
Kinematics
Child
Spastic cerebral palsy
topic Gait analysis
Event detection
Kinematics
Child
Spastic cerebral palsy
description Background: Ground reaction forces are the gold standard for detecting gait events, but they are not always applicable in cerebral palsy. Ghoussayni's algorithm is an event detection method based on the sagittal plane velocity of heel and toe markers. We aimed to evaluate whether Ghoussayni's algorithm, using two different thresholds, was a valid event detection method in children with bilateral spastic cerebral palsy. We also aimed to define a new adaptation of Ghoussayni's algorithm for detecting foot strike in cerebral palsy, and study the effect of event detection methods on spatiotemporal parameters. Methods: Synchronized kinematic and kinetic data were collected retrospectively from 16 children with bilateral spastic cerebral palsy (7 males and 9 females; age 8.9 +/- 2.7 years) walking barefoot at self-selected speed. Gait events were detected using methods: 1) ground reaction forces, 2) Ghoussayni's algorithm with a threshold of 0.5 m/s, and 3) Ghoussayni's algorithm with a walking speed dependent threshold. The new adaptation distinguished how foot strikes were performed (heel and/or toe) comparing the timing when the foot markers velocities fell below the threshold. Differences between the three methods, and between spatiotemporal parameters calculated from the two Ghoussayni's thresholds were analyzed. Findings: There were statistically significant (P < 0.05) differences between methods 1 and 3, and between some spatiotemporal parameters calculated from methods 2 and 3. Ghoussayni's algorithm showed better performance for foot strike than for toe off. Interpretation: Ghoussayni's algorithm using 0.5 m/s is valid in children with bilateral spastic cerebral palsy. Event detection methods affect spatiotemporal parameters.
publishDate 2021
dc.date.none.fl_str_mv 2021
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://fsjd.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=20183
https://www.sciencedirect.com/science/article/pii/S0268003321002229?via%3Dihub
url https://fsjd.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=20183
https://www.sciencedirect.com/science/article/pii/S0268003321002229?via%3Dihub
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv ELSEVIER SCI LTD
publisher.none.fl_str_mv ELSEVIER SCI LTD
dc.source.none.fl_str_mv CLINICAL BIOMECHANICS
ISSN: 02680033
ISSNe: 18791271
reponame:r-FSJD. Repositorio Institucional de Producción Científica de la Fundació Sant Joan de Déu
instname:Fundació Sant Joan de Déu
instname_str Fundació Sant Joan de Déu
reponame_str r-FSJD. Repositorio Institucional de Producción Científica de la Fundació Sant Joan de Déu
collection r-FSJD. Repositorio Institucional de Producción Científica de la Fundació Sant Joan de Déu
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869410376497496064
score 15,81155

Similares en LA Referencia