Comparison of kinematic and pressure measurement reference methods used in gait event detection
- Autores
- Catalfamo Formento, Paola Andrea Lucia; Acevedo, Ruben; Ghoussayni, Salim; Ewins, David
- Año de publicación
- 2014
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Purpose: A variety of methods have been proposed for detection of initial contact (IC) and foot off (FO) and some comparative analysis is reported in the literature. Pressure measurement insoles and kinematic systems are often part of footwear analysis. Although gait event detection algorithms using these systems have been proposed and evaluated against kinetic data (KN) from force platforms (typically used as a ‘gold standard’), they have not been compared directly. The objective of this work was to undertake this comparison using the same volunteer dataset and test conditions. Methods: Data from 10 healthy adults walking at self-selected normal speed were collected. Two kinematic algorithms (one using a fixed threshold, KM, and the other using high pass-filtering, HPA) and one algorithm using pressure measurement data from an insole (Contact Area Detection, AD) were tested and compared with the detection provided by KN. All data were synchronised and sampled at 200 Hz. Six basic spatio-temporal parameters were also calculated. Results: The absolute mean difference (AMD) in event detection between the three methods and KN was below 25 ms. However, the methods presented tendencies to detect events earlier or later than KN and this influenced the AMD between the methods, which increased to 47 ms for IC detection between HPA and AD. The spatio-temporal parameters showed no statistically significant differences between AD and KM, but differences reached statistical significance between AD and HPA. Conclusion: It is possible to compare gait events and basic spatio-temporal parameters detected using data from pressure measurement insoles and kinematic algorithms; however the kinematic algorithm used will influence the results. Hence the comparison of findings from alternative detection methods is an important issue for which information about the behaviour of the method used is required.
Fil: Catalfamo Formento, Paola Andrea Lucia. Universidad Nacional de Entre Ríos. Facultad de Ingeniería; Argentina. University of Surrey; Reino Unido. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Acevedo, Ruben. Universidad Nacional de Entre Ríos. Facultad de Ingeniería; Argentina
Fil: Ghoussayni, Salim. University Of Surrey; Reino Unido
Fil: Ewins, David. University of Surrey; Reino Unido - Materia
-
Gait Event Detection
Pressure Detection
Kinetic
Kinematic
Initial Contact
Foot Off - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/35333
Ver los metadatos del registro completo
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Comparison of kinematic and pressure measurement reference methods used in gait event detectionCatalfamo Formento, Paola Andrea LuciaAcevedo, RubenGhoussayni, SalimEwins, DavidGait Event DetectionPressure DetectionKineticKinematicInitial ContactFoot Offhttps://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1Purpose: A variety of methods have been proposed for detection of initial contact (IC) and foot off (FO) and some comparative analysis is reported in the literature. Pressure measurement insoles and kinematic systems are often part of footwear analysis. Although gait event detection algorithms using these systems have been proposed and evaluated against kinetic data (KN) from force platforms (typically used as a ‘gold standard’), they have not been compared directly. The objective of this work was to undertake this comparison using the same volunteer dataset and test conditions. Methods: Data from 10 healthy adults walking at self-selected normal speed were collected. Two kinematic algorithms (one using a fixed threshold, KM, and the other using high pass-filtering, HPA) and one algorithm using pressure measurement data from an insole (Contact Area Detection, AD) were tested and compared with the detection provided by KN. All data were synchronised and sampled at 200 Hz. Six basic spatio-temporal parameters were also calculated. Results: The absolute mean difference (AMD) in event detection between the three methods and KN was below 25 ms. However, the methods presented tendencies to detect events earlier or later than KN and this influenced the AMD between the methods, which increased to 47 ms for IC detection between HPA and AD. The spatio-temporal parameters showed no statistically significant differences between AD and KM, but differences reached statistical significance between AD and HPA. Conclusion: It is possible to compare gait events and basic spatio-temporal parameters detected using data from pressure measurement insoles and kinematic algorithms; however the kinematic algorithm used will influence the results. Hence the comparison of findings from alternative detection methods is an important issue for which information about the behaviour of the method used is required.Fil: Catalfamo Formento, Paola Andrea Lucia. Universidad Nacional de Entre Ríos. Facultad de Ingeniería; Argentina. University of Surrey; Reino Unido. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Acevedo, Ruben. Universidad Nacional de Entre Ríos. Facultad de Ingeniería; ArgentinaFil: Ghoussayni, Salim. University Of Surrey; Reino UnidoFil: Ewins, David. University of Surrey; Reino UnidoTaylor & Francis2014-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/35333Catalfamo Formento, Paola Andrea Lucia; Acevedo, Ruben; Ghoussayni, Salim; Ewins, David; Comparison of kinematic and pressure measurement reference methods used in gait event detection; Taylor & Francis; Footwear Science; 6; 3; 5-2014; 193-2021942-4280CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1080/19424280.2014.917123info:eu-repo/semantics/altIdentifier/url/http://www.tandfonline.com/doi/abs/10.1080/19424280.2014.917123info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:47:12Zoai:ri.conicet.gov.ar:11336/35333instacron: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:34982025-09-29 09:47:12.953CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Comparison of kinematic and pressure measurement reference methods used in gait event detection |
title |
Comparison of kinematic and pressure measurement reference methods used in gait event detection |
spellingShingle |
Comparison of kinematic and pressure measurement reference methods used in gait event detection Catalfamo Formento, Paola Andrea Lucia Gait Event Detection Pressure Detection Kinetic Kinematic Initial Contact Foot Off |
title_short |
Comparison of kinematic and pressure measurement reference methods used in gait event detection |
title_full |
Comparison of kinematic and pressure measurement reference methods used in gait event detection |
title_fullStr |
Comparison of kinematic and pressure measurement reference methods used in gait event detection |
title_full_unstemmed |
Comparison of kinematic and pressure measurement reference methods used in gait event detection |
title_sort |
Comparison of kinematic and pressure measurement reference methods used in gait event detection |
dc.creator.none.fl_str_mv |
Catalfamo Formento, Paola Andrea Lucia Acevedo, Ruben Ghoussayni, Salim Ewins, David |
author |
Catalfamo Formento, Paola Andrea Lucia |
author_facet |
Catalfamo Formento, Paola Andrea Lucia Acevedo, Ruben Ghoussayni, Salim Ewins, David |
author_role |
author |
author2 |
Acevedo, Ruben Ghoussayni, Salim Ewins, David |
author2_role |
author author author |
dc.subject.none.fl_str_mv |
Gait Event Detection Pressure Detection Kinetic Kinematic Initial Contact Foot Off |
topic |
Gait Event Detection Pressure Detection Kinetic Kinematic Initial Contact Foot Off |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.3 https://purl.org/becyt/ford/1 |
dc.description.none.fl_txt_mv |
Purpose: A variety of methods have been proposed for detection of initial contact (IC) and foot off (FO) and some comparative analysis is reported in the literature. Pressure measurement insoles and kinematic systems are often part of footwear analysis. Although gait event detection algorithms using these systems have been proposed and evaluated against kinetic data (KN) from force platforms (typically used as a ‘gold standard’), they have not been compared directly. The objective of this work was to undertake this comparison using the same volunteer dataset and test conditions. Methods: Data from 10 healthy adults walking at self-selected normal speed were collected. Two kinematic algorithms (one using a fixed threshold, KM, and the other using high pass-filtering, HPA) and one algorithm using pressure measurement data from an insole (Contact Area Detection, AD) were tested and compared with the detection provided by KN. All data were synchronised and sampled at 200 Hz. Six basic spatio-temporal parameters were also calculated. Results: The absolute mean difference (AMD) in event detection between the three methods and KN was below 25 ms. However, the methods presented tendencies to detect events earlier or later than KN and this influenced the AMD between the methods, which increased to 47 ms for IC detection between HPA and AD. The spatio-temporal parameters showed no statistically significant differences between AD and KM, but differences reached statistical significance between AD and HPA. Conclusion: It is possible to compare gait events and basic spatio-temporal parameters detected using data from pressure measurement insoles and kinematic algorithms; however the kinematic algorithm used will influence the results. Hence the comparison of findings from alternative detection methods is an important issue for which information about the behaviour of the method used is required. Fil: Catalfamo Formento, Paola Andrea Lucia. Universidad Nacional de Entre Ríos. Facultad de Ingeniería; Argentina. University of Surrey; Reino Unido. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Acevedo, Ruben. Universidad Nacional de Entre Ríos. Facultad de Ingeniería; Argentina Fil: Ghoussayni, Salim. University Of Surrey; Reino Unido Fil: Ewins, David. University of Surrey; Reino Unido |
description |
Purpose: A variety of methods have been proposed for detection of initial contact (IC) and foot off (FO) and some comparative analysis is reported in the literature. Pressure measurement insoles and kinematic systems are often part of footwear analysis. Although gait event detection algorithms using these systems have been proposed and evaluated against kinetic data (KN) from force platforms (typically used as a ‘gold standard’), they have not been compared directly. The objective of this work was to undertake this comparison using the same volunteer dataset and test conditions. Methods: Data from 10 healthy adults walking at self-selected normal speed were collected. Two kinematic algorithms (one using a fixed threshold, KM, and the other using high pass-filtering, HPA) and one algorithm using pressure measurement data from an insole (Contact Area Detection, AD) were tested and compared with the detection provided by KN. All data were synchronised and sampled at 200 Hz. Six basic spatio-temporal parameters were also calculated. Results: The absolute mean difference (AMD) in event detection between the three methods and KN was below 25 ms. However, the methods presented tendencies to detect events earlier or later than KN and this influenced the AMD between the methods, which increased to 47 ms for IC detection between HPA and AD. The spatio-temporal parameters showed no statistically significant differences between AD and KM, but differences reached statistical significance between AD and HPA. Conclusion: It is possible to compare gait events and basic spatio-temporal parameters detected using data from pressure measurement insoles and kinematic algorithms; however the kinematic algorithm used will influence the results. Hence the comparison of findings from alternative detection methods is an important issue for which information about the behaviour of the method used is required. |
publishDate |
2014 |
dc.date.none.fl_str_mv |
2014-05 |
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/11336/35333 Catalfamo Formento, Paola Andrea Lucia; Acevedo, Ruben; Ghoussayni, Salim; Ewins, David; Comparison of kinematic and pressure measurement reference methods used in gait event detection; Taylor & Francis; Footwear Science; 6; 3; 5-2014; 193-202 1942-4280 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/35333 |
identifier_str_mv |
Catalfamo Formento, Paola Andrea Lucia; Acevedo, Ruben; Ghoussayni, Salim; Ewins, David; Comparison of kinematic and pressure measurement reference methods used in gait event detection; Taylor & Francis; Footwear Science; 6; 3; 5-2014; 193-202 1942-4280 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/doi/10.1080/19424280.2014.917123 info:eu-repo/semantics/altIdentifier/url/http://www.tandfonline.com/doi/abs/10.1080/19424280.2014.917123 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Taylor & Francis |
publisher.none.fl_str_mv |
Taylor & Francis |
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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1844613471033884672 |
score |
13.070432 |