Evaluation of kinematic-based algorithms for gait event detection in subjects with transtibial amputation walking on different terrains

Autores
Muñoz Larrosa, Eugenia Soledad; Riveras, Mauricio; Oldfied, Matthew; Shaheen, A. F.; Schlotthauer, Gaston; Catalfamo Formento, Paola Andrea Lucia
Año de publicación
2023
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Several kinematic-based algorithms have shown accuracy for gait event detection in unimpaired and pathological gait. However, their validation in subjects with lower limb amputation is still limited. The aim of this paper was to evaluate three kinematic-based algorithms for detection of gait events in subjects with unilateral transtibial amputation walking on different terrains. The Coordinate-Based Algorithm, the Velocity-Based Algorithm and the High-Pass Filtered Algorithm (HPA) were implemented for detection of Initial Contact and Foot Off for the intact and prosthetic limbs of twelve subjects with unilateral transtibial amputation walking on level ground and up and down a slope. True Error (TE) was calculated as the time difference between the algorithms and the force platform in detecting the events. A post-processing of HPA was proposed to further understand its performance for amputee gait. The results showed that mean TE was smaller than 40 ms for all algorithms in all conditions (events, terrains and limbs). The performance of the algorithms was significantly affected (p<0.01) by the terrain and the limb under analysis. The post-processing of HPA showed that the signal processing used was not always valid for amputee gait. To conclude, if an accuracy of 40 ms is acceptable for the application, then all three algorithms can be used for event detection in amputee gait. Otherwise, considering the results of this study, an evaluation of the algorithms in pathological gait walking on the terrain of interest is recommended
Fil: Muñoz Larrosa, Eugenia Soledad. Universidad Nacional de Entre Ríos. Facultad de Ingeniería; Argentina. Universidad Nacional de Entre Ríos. Instituto de Investigación y Desarrollo en Bioingeniería y Bioinformática - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Investigación y Desarrollo en Bioingeniería y Bioinformática; Argentina
Fil: Riveras, Mauricio. Universidad Nacional de Entre Ríos. Instituto de Investigación y Desarrollo en Bioingeniería y Bioinformática - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Investigación y Desarrollo en Bioingeniería y Bioinformática; Argentina. Universidad Nacional de Entre Ríos. Facultad de Ingeniería; Argentina
Fil: Oldfied, Matthew. University of Surrey; Reino Unido
Fil: Shaheen, A. F.. Brunel University London; Reino Unido. University of Surrey; Reino Unido
Fil: Schlotthauer, Gaston. Universidad Nacional de Entre Ríos. Instituto de Investigación y Desarrollo en Bioingeniería y Bioinformática - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Investigación y Desarrollo en Bioingeniería y Bioinformática; Argentina. Universidad Nacional de Entre Ríos. Facultad de Ingeniería; Argentina
Fil: Catalfamo Formento, Paola Andrea Lucia. Universidad Nacional de Entre Ríos. Instituto de Investigación y Desarrollo en Bioingeniería y Bioinformática - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Investigación y Desarrollo en Bioingeniería y Bioinformática; Argentina. Universidad Nacional de Entre Ríos. Facultad de Ingeniería; Argentina. University of Surrey; Reino Unido
Materia
Gait events
Initial Contact
Foot off
Kinematic
Transtibial Amputee
Ramp
Level Ground
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/256417
Acceder
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repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Evaluation of kinematic-based algorithms for gait event detection in subjects with transtibial amputation walking on different terrainsMuñoz Larrosa, Eugenia SoledadRiveras, MauricioOldfied, MatthewShaheen, A. F.Schlotthauer, GastonCatalfamo Formento, Paola Andrea LuciaGait eventsInitial ContactFoot offKinematicTranstibial AmputeeRampLevel Groundhttps://purl.org/becyt/ford/2.6https://purl.org/becyt/ford/2Several kinematic-based algorithms have shown accuracy for gait event detection in unimpaired and pathological gait. However, their validation in subjects with lower limb amputation is still limited. The aim of this paper was to evaluate three kinematic-based algorithms for detection of gait events in subjects with unilateral transtibial amputation walking on different terrains. The Coordinate-Based Algorithm, the Velocity-Based Algorithm and the High-Pass Filtered Algorithm (HPA) were implemented for detection of Initial Contact and Foot Off for the intact and prosthetic limbs of twelve subjects with unilateral transtibial amputation walking on level ground and up and down a slope. True Error (TE) was calculated as the time difference between the algorithms and the force platform in detecting the events. A post-processing of HPA was proposed to further understand its performance for amputee gait. The results showed that mean TE was smaller than 40 ms for all algorithms in all conditions (events, terrains and limbs). The performance of the algorithms was significantly affected (p<0.01) by the terrain and the limb under analysis. The post-processing of HPA showed that the signal processing used was not always valid for amputee gait. To conclude, if an accuracy of 40 ms is acceptable for the application, then all three algorithms can be used for event detection in amputee gait. Otherwise, considering the results of this study, an evaluation of the algorithms in pathological gait walking on the terrain of interest is recommendedFil: Muñoz Larrosa, Eugenia Soledad. Universidad Nacional de Entre Ríos. Facultad de Ingeniería; Argentina. Universidad Nacional de Entre Ríos. Instituto de Investigación y Desarrollo en Bioingeniería y Bioinformática - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Investigación y Desarrollo en Bioingeniería y Bioinformática; ArgentinaFil: Riveras, Mauricio. Universidad Nacional de Entre Ríos. Instituto de Investigación y Desarrollo en Bioingeniería y Bioinformática - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Investigación y Desarrollo en Bioingeniería y Bioinformática; Argentina. Universidad Nacional de Entre Ríos. Facultad de Ingeniería; ArgentinaFil: Oldfied, Matthew. University of Surrey; Reino UnidoFil: Shaheen, A. F.. Brunel University London; Reino Unido. University of Surrey; Reino UnidoFil: Schlotthauer, Gaston. Universidad Nacional de Entre Ríos. Instituto de Investigación y Desarrollo en Bioingeniería y Bioinformática - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Investigación y Desarrollo en Bioingeniería y Bioinformática; Argentina. Universidad Nacional de Entre Ríos. Facultad de Ingeniería; ArgentinaFil: Catalfamo Formento, Paola Andrea Lucia. Universidad Nacional de Entre Ríos. Instituto de Investigación y Desarrollo en Bioingeniería y Bioinformática - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Investigación y Desarrollo en Bioingeniería y Bioinformática; Argentina. Universidad Nacional de Entre Ríos. Facultad de Ingeniería; Argentina. University of Surrey; Reino UnidoElsevier2023-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/256417Muñoz Larrosa, Eugenia Soledad; Riveras, Mauricio; Oldfied, Matthew; Shaheen, A. F.; Schlotthauer, Gaston; et al.; Evaluation of kinematic-based algorithms for gait event detection in subjects with transtibial amputation walking on different terrains; Elsevier; Social Science Research Network; 11-2023; 1-241556-5068CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4635319info:eu-repo/semantics/altIdentifier/doi/10.2139/ssrn.4635319info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-10T13:07:58Zoai:ri.conicet.gov.ar:11336/256417instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-10 13:07:58.872CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Evaluation of kinematic-based algorithms for gait event detection in subjects with transtibial amputation walking on different terrains
title Evaluation of kinematic-based algorithms for gait event detection in subjects with transtibial amputation walking on different terrains
spellingShingle Evaluation of kinematic-based algorithms for gait event detection in subjects with transtibial amputation walking on different terrains
Muñoz Larrosa, Eugenia Soledad
Gait events
Initial Contact
Foot off
Kinematic
Transtibial Amputee
Ramp
Level Ground
title_short Evaluation of kinematic-based algorithms for gait event detection in subjects with transtibial amputation walking on different terrains
title_full Evaluation of kinematic-based algorithms for gait event detection in subjects with transtibial amputation walking on different terrains
title_fullStr Evaluation of kinematic-based algorithms for gait event detection in subjects with transtibial amputation walking on different terrains
title_full_unstemmed Evaluation of kinematic-based algorithms for gait event detection in subjects with transtibial amputation walking on different terrains
title_sort Evaluation of kinematic-based algorithms for gait event detection in subjects with transtibial amputation walking on different terrains
dc.creator.none.fl_str_mv Muñoz Larrosa, Eugenia Soledad
Riveras, Mauricio
Oldfied, Matthew
Shaheen, A. F.
Schlotthauer, Gaston
Catalfamo Formento, Paola Andrea Lucia
author Muñoz Larrosa, Eugenia Soledad
author_facet Muñoz Larrosa, Eugenia Soledad
Riveras, Mauricio
Oldfied, Matthew
Shaheen, A. F.
Schlotthauer, Gaston
Catalfamo Formento, Paola Andrea Lucia
author_role author
author2 Riveras, Mauricio
Oldfied, Matthew
Shaheen, A. F.
Schlotthauer, Gaston
Catalfamo Formento, Paola Andrea Lucia
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv Gait events
Initial Contact
Foot off
Kinematic
Transtibial Amputee
Ramp
Level Ground
topic Gait events
Initial Contact
Foot off
Kinematic
Transtibial Amputee
Ramp
Level Ground
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.6
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv Several kinematic-based algorithms have shown accuracy for gait event detection in unimpaired and pathological gait. However, their validation in subjects with lower limb amputation is still limited. The aim of this paper was to evaluate three kinematic-based algorithms for detection of gait events in subjects with unilateral transtibial amputation walking on different terrains. The Coordinate-Based Algorithm, the Velocity-Based Algorithm and the High-Pass Filtered Algorithm (HPA) were implemented for detection of Initial Contact and Foot Off for the intact and prosthetic limbs of twelve subjects with unilateral transtibial amputation walking on level ground and up and down a slope. True Error (TE) was calculated as the time difference between the algorithms and the force platform in detecting the events. A post-processing of HPA was proposed to further understand its performance for amputee gait. The results showed that mean TE was smaller than 40 ms for all algorithms in all conditions (events, terrains and limbs). The performance of the algorithms was significantly affected (p<0.01) by the terrain and the limb under analysis. The post-processing of HPA showed that the signal processing used was not always valid for amputee gait. To conclude, if an accuracy of 40 ms is acceptable for the application, then all three algorithms can be used for event detection in amputee gait. Otherwise, considering the results of this study, an evaluation of the algorithms in pathological gait walking on the terrain of interest is recommended
Fil: Muñoz Larrosa, Eugenia Soledad. Universidad Nacional de Entre Ríos. Facultad de Ingeniería; Argentina. Universidad Nacional de Entre Ríos. Instituto de Investigación y Desarrollo en Bioingeniería y Bioinformática - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Investigación y Desarrollo en Bioingeniería y Bioinformática; Argentina
Fil: Riveras, Mauricio. Universidad Nacional de Entre Ríos. Instituto de Investigación y Desarrollo en Bioingeniería y Bioinformática - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Investigación y Desarrollo en Bioingeniería y Bioinformática; Argentina. Universidad Nacional de Entre Ríos. Facultad de Ingeniería; Argentina
Fil: Oldfied, Matthew. University of Surrey; Reino Unido
Fil: Shaheen, A. F.. Brunel University London; Reino Unido. University of Surrey; Reino Unido
Fil: Schlotthauer, Gaston. Universidad Nacional de Entre Ríos. Instituto de Investigación y Desarrollo en Bioingeniería y Bioinformática - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Investigación y Desarrollo en Bioingeniería y Bioinformática; Argentina. Universidad Nacional de Entre Ríos. Facultad de Ingeniería; Argentina
Fil: Catalfamo Formento, Paola Andrea Lucia. Universidad Nacional de Entre Ríos. Instituto de Investigación y Desarrollo en Bioingeniería y Bioinformática - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Investigación y Desarrollo en Bioingeniería y Bioinformática; Argentina. Universidad Nacional de Entre Ríos. Facultad de Ingeniería; Argentina. University of Surrey; Reino Unido
description Several kinematic-based algorithms have shown accuracy for gait event detection in unimpaired and pathological gait. However, their validation in subjects with lower limb amputation is still limited. The aim of this paper was to evaluate three kinematic-based algorithms for detection of gait events in subjects with unilateral transtibial amputation walking on different terrains. The Coordinate-Based Algorithm, the Velocity-Based Algorithm and the High-Pass Filtered Algorithm (HPA) were implemented for detection of Initial Contact and Foot Off for the intact and prosthetic limbs of twelve subjects with unilateral transtibial amputation walking on level ground and up and down a slope. True Error (TE) was calculated as the time difference between the algorithms and the force platform in detecting the events. A post-processing of HPA was proposed to further understand its performance for amputee gait. The results showed that mean TE was smaller than 40 ms for all algorithms in all conditions (events, terrains and limbs). The performance of the algorithms was significantly affected (p<0.01) by the terrain and the limb under analysis. The post-processing of HPA showed that the signal processing used was not always valid for amputee gait. To conclude, if an accuracy of 40 ms is acceptable for the application, then all three algorithms can be used for event detection in amputee gait. Otherwise, considering the results of this study, an evaluation of the algorithms in pathological gait walking on the terrain of interest is recommended
publishDate 2023
dc.date.none.fl_str_mv 2023-11
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/256417
Muñoz Larrosa, Eugenia Soledad; Riveras, Mauricio; Oldfied, Matthew; Shaheen, A. F.; Schlotthauer, Gaston; et al.; Evaluation of kinematic-based algorithms for gait event detection in subjects with transtibial amputation walking on different terrains; Elsevier; Social Science Research Network; 11-2023; 1-24
1556-5068
CONICET Digital
CONICET
url http://hdl.handle.net/11336/256417
identifier_str_mv Muñoz Larrosa, Eugenia Soledad; Riveras, Mauricio; Oldfied, Matthew; Shaheen, A. F.; Schlotthauer, Gaston; et al.; Evaluation of kinematic-based algorithms for gait event detection in subjects with transtibial amputation walking on different terrains; Elsevier; Social Science Research Network; 11-2023; 1-24
1556-5068
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4635319
info:eu-repo/semantics/altIdentifier/doi/10.2139/ssrn.4635319
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.004268

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