Cargando…

Methodological factors affecting joint moments estimation in clinical gait analysis: a systematic review

Quantitative gait analysis can provide a description of joint kinematics and dynamics, and it is recognized as a clinically useful tool for functional assessment, diagnosis and intervention planning. Clinically interpretable parameters are estimated from quantitative measures (i.e. ground reaction f...

Descripción completa

Detalles Bibliográficos
Autores principales: Camomilla, Valentina, Cereatti, Andrea, Cutti, Andrea Giovanni, Fantozzi, Silvia, Stagni, Rita, Vannozzi, Giuseppe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5563001/
https://www.ncbi.nlm.nih.gov/pubmed/28821242
http://dx.doi.org/10.1186/s12938-017-0396-x
_version_ 1783258053250908160
author Camomilla, Valentina
Cereatti, Andrea
Cutti, Andrea Giovanni
Fantozzi, Silvia
Stagni, Rita
Vannozzi, Giuseppe
author_facet Camomilla, Valentina
Cereatti, Andrea
Cutti, Andrea Giovanni
Fantozzi, Silvia
Stagni, Rita
Vannozzi, Giuseppe
author_sort Camomilla, Valentina
collection PubMed
description Quantitative gait analysis can provide a description of joint kinematics and dynamics, and it is recognized as a clinically useful tool for functional assessment, diagnosis and intervention planning. Clinically interpretable parameters are estimated from quantitative measures (i.e. ground reaction forces, skin marker trajectories, etc.) through biomechanical modelling. In particular, the estimation of joint moments during motion is grounded on several modelling assumptions: (1) body segmental and joint kinematics is derived from the trajectories of markers and by modelling the human body as a kinematic chain; (2) joint resultant (net) loads are, usually, derived from force plate measurements through a model of segmental dynamics. Therefore, both measurement errors and modelling assumptions can affect the results, to an extent that also depends on the characteristics of the motor task analysed (i.e. gait speed). Errors affecting the trajectories of joint centres, the orientation of joint functional axes, the joint angular velocities, the accuracy of inertial parameters and force measurements (concurring to the definition of the dynamic model), can weigh differently in the estimation of clinically interpretable joint moments. Numerous studies addressed all these methodological aspects separately, but a critical analysis of how these aspects may affect the clinical interpretation of joint dynamics is still missing. This article aims at filling this gap through a systematic review of the literature, conducted on Web of Science, Scopus and PubMed. The final objective is hence to provide clear take-home messages to guide laboratories in the estimation of joint moments for the clinical practice. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12938-017-0396-x) contains supplementary material, which is available to authorized users.
format Online
Article
Text
id pubmed-5563001
institution National Center for Biotechnology Information
language English
publishDate 2017
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-55630012017-08-21 Methodological factors affecting joint moments estimation in clinical gait analysis: a systematic review Camomilla, Valentina Cereatti, Andrea Cutti, Andrea Giovanni Fantozzi, Silvia Stagni, Rita Vannozzi, Giuseppe Biomed Eng Online Review Quantitative gait analysis can provide a description of joint kinematics and dynamics, and it is recognized as a clinically useful tool for functional assessment, diagnosis and intervention planning. Clinically interpretable parameters are estimated from quantitative measures (i.e. ground reaction forces, skin marker trajectories, etc.) through biomechanical modelling. In particular, the estimation of joint moments during motion is grounded on several modelling assumptions: (1) body segmental and joint kinematics is derived from the trajectories of markers and by modelling the human body as a kinematic chain; (2) joint resultant (net) loads are, usually, derived from force plate measurements through a model of segmental dynamics. Therefore, both measurement errors and modelling assumptions can affect the results, to an extent that also depends on the characteristics of the motor task analysed (i.e. gait speed). Errors affecting the trajectories of joint centres, the orientation of joint functional axes, the joint angular velocities, the accuracy of inertial parameters and force measurements (concurring to the definition of the dynamic model), can weigh differently in the estimation of clinically interpretable joint moments. Numerous studies addressed all these methodological aspects separately, but a critical analysis of how these aspects may affect the clinical interpretation of joint dynamics is still missing. This article aims at filling this gap through a systematic review of the literature, conducted on Web of Science, Scopus and PubMed. The final objective is hence to provide clear take-home messages to guide laboratories in the estimation of joint moments for the clinical practice. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12938-017-0396-x) contains supplementary material, which is available to authorized users. BioMed Central 2017-08-18 /pmc/articles/PMC5563001/ /pubmed/28821242 http://dx.doi.org/10.1186/s12938-017-0396-x Text en © The Author(s) 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Review
Camomilla, Valentina
Cereatti, Andrea
Cutti, Andrea Giovanni
Fantozzi, Silvia
Stagni, Rita
Vannozzi, Giuseppe
Methodological factors affecting joint moments estimation in clinical gait analysis: a systematic review
title Methodological factors affecting joint moments estimation in clinical gait analysis: a systematic review
title_full Methodological factors affecting joint moments estimation in clinical gait analysis: a systematic review
title_fullStr Methodological factors affecting joint moments estimation in clinical gait analysis: a systematic review
title_full_unstemmed Methodological factors affecting joint moments estimation in clinical gait analysis: a systematic review
title_short Methodological factors affecting joint moments estimation in clinical gait analysis: a systematic review
title_sort methodological factors affecting joint moments estimation in clinical gait analysis: a systematic review
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5563001/
https://www.ncbi.nlm.nih.gov/pubmed/28821242
http://dx.doi.org/10.1186/s12938-017-0396-x
work_keys_str_mv AT camomillavalentina methodologicalfactorsaffectingjointmomentsestimationinclinicalgaitanalysisasystematicreview
AT cereattiandrea methodologicalfactorsaffectingjointmomentsestimationinclinicalgaitanalysisasystematicreview
AT cuttiandreagiovanni methodologicalfactorsaffectingjointmomentsestimationinclinicalgaitanalysisasystematicreview
AT fantozzisilvia methodologicalfactorsaffectingjointmomentsestimationinclinicalgaitanalysisasystematicreview
AT stagnirita methodologicalfactorsaffectingjointmomentsestimationinclinicalgaitanalysisasystematicreview
AT vannozzigiuseppe methodologicalfactorsaffectingjointmomentsestimationinclinicalgaitanalysisasystematicreview