Derivation of the Gait Deviation Index for Spinal Cord Injury

The Gait Deviation Index (GDI) is a dimensionless multivariate measure of overall gait pathology represented as a single score that indicates the gait deviation from a normal gait average. It is calculated using kinematic data recorded during a three-dimensional gait analysis and an orthonormal vect...

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Autores: Herrera Valenzuela, Diana, Sinovas-Alonso, I., Moreno, Juan Camilo, Gil-Agudo, Ángel, Ama, Antonio J. del
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2022
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/281645
Acceso en línea:http://hdl.handle.net/10261/281645
Access Level:acceso abierto
Palabra clave:gait deviation index (GDI)
gait impairment
singular value decomposition
spinal cord injury (SCI)
three-dimensional (3D) kinematic gait data
walking index for spinal cord injury (WISCI).
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spelling Derivation of the Gait Deviation Index for Spinal Cord InjuryHerrera Valenzuela, DianaSinovas-Alonso, I.Moreno, Juan CamiloGil-Agudo, ÁngelAma, Antonio J. delgait deviation index (GDI)gait impairmentsingular value decompositionspinal cord injury (SCI)three-dimensional (3D) kinematic gait datawalking index for spinal cord injury (WISCI).The Gait Deviation Index (GDI) is a dimensionless multivariate measure of overall gait pathology represented as a single score that indicates the gait deviation from a normal gait average. It is calculated using kinematic data recorded during a three-dimensional gait analysis and an orthonormal vectorial basis with 15 gait features that was originally obtained using singular value decomposition and feature analysis on a dataset of children with cerebral palsy. Ever since, it has been used as an outcome measure to study gait in several conditions, including spinal cord injury (SCI). Nevertheless, the validity of implementing the GDI in a population with SCI has not been studied yet. We investigate the application of these mathematical methods to derive a similar metric but with a dataset of adults with SCI (SCI-GDI). The new SCI-GDI is compared with the original GDI to evaluate their differences and assess the need for a specific GDI for SCI and with the WISCI II to evaluate its sensibility. Our findings show that a 21-feature basis is necessary to account for most of the variance in gait patterns in the SCI population and to provide high-quality reconstructions of the gait curves included in the dataset and in foreign data. Furthermore, using only the first 15 features of our SCI basis, the fidelity of the reconstructions obtained in our population is higher than that when using the basis of the original GDI. The results showed that the SCI-GDI discriminates most levels of the WISCI II scale, except for levels 12 and 18. Statistically significant differences were found between both indexes within each WISCI II level except for 12, 20, and the control group (p < 0.05). In all levels, the average GDI value was greater than the average SCI-GDI value, but the difference between both indexes is larger in data with greater impairment and it reduces progressively toward a normal gait pattern. In conclusion, the implementation of the original GDI in SCI may lead to overestimation of gait function, and our new SCI-GDI is more sensitive to larger gait impairment than the GDI. Further validation of the SCI-GDI with other scales validated in SCI is needed.This research has been supported by the TAILOR project: “Modular robotic and neuroprosthetic customizable systems for the assistance of pathological gait,” funded by Agencia Estatal de Investigación on 2018 call (reference RTI 2018-097290-B-C31).Frontiers in Bioscience PublicationsAgencia Estatal de Investigación (España)Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]2022202220222022info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionhttp://hdl.handle.net/10261/281645reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglés#PLACEHOLDER_PARENT_METADATA_VALUE#info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-097290-B-C31http://dx.doi.org/10.3389/fbioe.2022.874074Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/2816452026-05-22T06:33:51Z
dc.title.none.fl_str_mv Derivation of the Gait Deviation Index for Spinal Cord Injury
title Derivation of the Gait Deviation Index for Spinal Cord Injury
spellingShingle Derivation of the Gait Deviation Index for Spinal Cord Injury
Herrera Valenzuela, Diana
gait deviation index (GDI)
gait impairment
singular value decomposition
spinal cord injury (SCI)
three-dimensional (3D) kinematic gait data
walking index for spinal cord injury (WISCI).
title_short Derivation of the Gait Deviation Index for Spinal Cord Injury
title_full Derivation of the Gait Deviation Index for Spinal Cord Injury
title_fullStr Derivation of the Gait Deviation Index for Spinal Cord Injury
title_full_unstemmed Derivation of the Gait Deviation Index for Spinal Cord Injury
title_sort Derivation of the Gait Deviation Index for Spinal Cord Injury
dc.creator.none.fl_str_mv Herrera Valenzuela, Diana
Sinovas-Alonso, I.
Moreno, Juan Camilo
Gil-Agudo, Ángel
Ama, Antonio J. del
author Herrera Valenzuela, Diana
author_facet Herrera Valenzuela, Diana
Sinovas-Alonso, I.
Moreno, Juan Camilo
Gil-Agudo, Ángel
Ama, Antonio J. del
author_role author
author2 Sinovas-Alonso, I.
Moreno, Juan Camilo
Gil-Agudo, Ángel
Ama, Antonio J. del
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Agencia Estatal de Investigación (España)
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv gait deviation index (GDI)
gait impairment
singular value decomposition
spinal cord injury (SCI)
three-dimensional (3D) kinematic gait data
walking index for spinal cord injury (WISCI).
topic gait deviation index (GDI)
gait impairment
singular value decomposition
spinal cord injury (SCI)
three-dimensional (3D) kinematic gait data
walking index for spinal cord injury (WISCI).
description The Gait Deviation Index (GDI) is a dimensionless multivariate measure of overall gait pathology represented as a single score that indicates the gait deviation from a normal gait average. It is calculated using kinematic data recorded during a three-dimensional gait analysis and an orthonormal vectorial basis with 15 gait features that was originally obtained using singular value decomposition and feature analysis on a dataset of children with cerebral palsy. Ever since, it has been used as an outcome measure to study gait in several conditions, including spinal cord injury (SCI). Nevertheless, the validity of implementing the GDI in a population with SCI has not been studied yet. We investigate the application of these mathematical methods to derive a similar metric but with a dataset of adults with SCI (SCI-GDI). The new SCI-GDI is compared with the original GDI to evaluate their differences and assess the need for a specific GDI for SCI and with the WISCI II to evaluate its sensibility. Our findings show that a 21-feature basis is necessary to account for most of the variance in gait patterns in the SCI population and to provide high-quality reconstructions of the gait curves included in the dataset and in foreign data. Furthermore, using only the first 15 features of our SCI basis, the fidelity of the reconstructions obtained in our population is higher than that when using the basis of the original GDI. The results showed that the SCI-GDI discriminates most levels of the WISCI II scale, except for levels 12 and 18. Statistically significant differences were found between both indexes within each WISCI II level except for 12, 20, and the control group (p < 0.05). In all levels, the average GDI value was greater than the average SCI-GDI value, but the difference between both indexes is larger in data with greater impairment and it reduces progressively toward a normal gait pattern. In conclusion, the implementation of the original GDI in SCI may lead to overestimation of gait function, and our new SCI-GDI is more sensitive to larger gait impairment than the GDI. Further validation of the SCI-GDI with other scales validated in SCI is needed.
publishDate 2022
dc.date.none.fl_str_mv 2022
2022
2022
2022
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Publisher's version
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/281645
url http://hdl.handle.net/10261/281645
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv #PLACEHOLDER_PARENT_METADATA_VALUE#
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-097290-B-C31
http://dx.doi.org/10.3389/fbioe.2022.874074
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Frontiers in Bioscience Publications
publisher.none.fl_str_mv Frontiers in Bioscience Publications
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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