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'...
| Autores: | , , , , , |
|---|---|
| Tipo de recurso: | artículo |
| Fecha de publicación: | 2021 |
| País: | España |
| Institución: | Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya) |
| Repositorio: | Recercat. Dipósit de la Recerca de Catalunya |
| OAI Identifier: | oai:recercat.cat:20.500.14342/3564 |
| Acceso en línea: | http://hdl.handle.net/20.500.14342/3564 https://doi.org/10.1016/j.clinbiomech.2021.105492 |
| Access Level: | acceso abierto |
| Palabra clave: | Locomoció humana -- Avaluació Infants paralítics cerebrals Cinemàtica Motricitat en els infants 612 616.8 |
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Gait event detection using kinematic data in children with bilateral spastic cerebral palsyGait event detection using kinematic data in children with bilateral spastic cerebral palsyGómez-Pérez, CristinaMartori, Joan CarlesPuig-Diví, AlbertMedina Casanovas, JosepVidal Samsó, JoanFont Llagunes, Josep MariaLocomoció humana -- AvaluacióInfants paralítics cerebralsCinemàticaMotricitat en els infants612616.8Background 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.info:eu-repo/semantics/publishedVersionElsevierUniversitat Ramon Llull. Facultat de Ciències de la Salut Blanquerna2021info:eu-repo/semantics/article6 p.http://hdl.handle.net/20.500.14342/3564https://doi.org/10.1016/j.clinbiomech.2021.105492reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)InglésClinical Biomechanics, 2021, vol. 90, 105492Attribution-NonCommercial-NoDerivatives 4.0 International© L’autor/ahttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:recercat.cat:20.500.14342/35642026-05-29T05:05:01Z |
| dc.title.none.fl_str_mv |
Gait event detection using kinematic data in children with bilateral spastic cerebral palsy 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, Cristina Locomoció humana -- Avaluació Infants paralítics cerebrals Cinemàtica Motricitat en els infants 612 616.8 |
| 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, Cristina Martori, Joan Carles Puig-Diví, Albert Medina Casanovas, Josep Vidal Samsó, Joan Font Llagunes, Josep Maria |
| author |
Gómez-Pérez, Cristina |
| author_facet |
Gómez-Pérez, Cristina Martori, Joan Carles Puig-Diví, Albert Medina Casanovas, Josep Vidal Samsó, Joan Font Llagunes, Josep Maria |
| author_role |
author |
| author2 |
Martori, Joan Carles Puig-Diví, Albert Medina Casanovas, Josep Vidal Samsó, Joan Font Llagunes, Josep Maria |
| author2_role |
author author author author author |
| dc.contributor.none.fl_str_mv |
Universitat Ramon Llull. Facultat de Ciències de la Salut Blanquerna |
| dc.subject.none.fl_str_mv |
Locomoció humana -- Avaluació Infants paralítics cerebrals Cinemàtica Motricitat en els infants 612 616.8 |
| topic |
Locomoció humana -- Avaluació Infants paralítics cerebrals Cinemàtica Motricitat en els infants 612 616.8 |
| 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 |
| format |
article |
| dc.identifier.none.fl_str_mv |
http://hdl.handle.net/20.500.14342/3564 https://doi.org/10.1016/j.clinbiomech.2021.105492 |
| url |
http://hdl.handle.net/20.500.14342/3564 https://doi.org/10.1016/j.clinbiomech.2021.105492 |
| dc.language.none.fl_str_mv |
Inglés |
| language_invalid_str_mv |
Inglés |
| dc.relation.none.fl_str_mv |
Clinical Biomechanics, 2021, vol. 90, 105492 |
| dc.rights.none.fl_str_mv |
Attribution-NonCommercial-NoDerivatives 4.0 International © L’autor/a http://creativecommons.org/licenses/by-nc-nd/4.0/ info:eu-repo/semantics/openAccess |
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Attribution-NonCommercial-NoDerivatives 4.0 International © L’autor/a http://creativecommons.org/licenses/by-nc-nd/4.0/ |
| eu_rights_str_mv |
openAccess |
| dc.format.none.fl_str_mv |
6 p. |
| dc.publisher.none.fl_str_mv |
Elsevier |
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Elsevier |
| dc.source.none.fl_str_mv |
reponame:Recercat. Dipósit de la Recerca de Catalunya instname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya) |
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Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya) |
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Recercat. Dipósit de la Recerca de Catalunya |
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Recercat. Dipósit de la Recerca de Catalunya |
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