Cargando…

Modeling hind-limb kinematics using a bio-inspired algorithm with a local search

BACKGROUND: Laboratory rats play a critical role in research because they provide a biological model that can be used for evaluating the affectation of diseases and injuries, and for the evaluation of the effectiveness of new drugs and treatments. The analysis of locomotion in laboratory rats facili...

Descripción completa

Detalles Bibliográficos
Autores principales: Valdez, S. Ivvan, González-Sandoval, Josué, Dueñas-Jiménez, Sergio, Franco Rodríguez, Nancy Elizabeth, Torres-Ramos, Sulema, Mendizabal-Ruiz, Gerardo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6245690/
https://www.ncbi.nlm.nih.gov/pubmed/30458788
http://dx.doi.org/10.1186/s12938-018-0565-6
_version_ 1783372285772562432
author Valdez, S. Ivvan
González-Sandoval, Josué
Dueñas-Jiménez, Sergio
Franco Rodríguez, Nancy Elizabeth
Torres-Ramos, Sulema
Mendizabal-Ruiz, Gerardo
author_facet Valdez, S. Ivvan
González-Sandoval, Josué
Dueñas-Jiménez, Sergio
Franco Rodríguez, Nancy Elizabeth
Torres-Ramos, Sulema
Mendizabal-Ruiz, Gerardo
author_sort Valdez, S. Ivvan
collection PubMed
description BACKGROUND: Laboratory rats play a critical role in research because they provide a biological model that can be used for evaluating the affectation of diseases and injuries, and for the evaluation of the effectiveness of new drugs and treatments. The analysis of locomotion in laboratory rats facilitates the understanding of motor defects in many diseases, as well as the damage and recovery after peripheral and central nervous system injuries. However, locomotion analysis of rats remains a great challenge due to the necessity of labor intensive manual annotations of video data required to obtain quantitative measurements of the kinematics of the rodent extremities. In this work, we present a method that is based on the use of a bio-inspired algorithm that fits a kinematic model of the hind limbs of rats to binary images corresponding to the segmented marker of images corresponding to the rat’s gait. The bio-inspired algorithm combines a genetic algorithm for a group of the optimization variables with a local search for a second group of the optimization variables. RESULTS: Our results indicate the feasibility of employing the proposed approach for the automatic annotation and analysis of the locomotion patterns of the posterior extremities of laboratory rats. CONCLUSIONS: The adjustment of the hind limb kinematic model to markers of the video frames corresponding to rat’s gait sequences could then be used to analyze the motion patterns during the steps, which, in turn, can be useful for performing quantitative evaluations of the effect of lesions and treatments on rats models.
format Online
Article
Text
id pubmed-6245690
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-62456902018-11-26 Modeling hind-limb kinematics using a bio-inspired algorithm with a local search Valdez, S. Ivvan González-Sandoval, Josué Dueñas-Jiménez, Sergio Franco Rodríguez, Nancy Elizabeth Torres-Ramos, Sulema Mendizabal-Ruiz, Gerardo Biomed Eng Online Research BACKGROUND: Laboratory rats play a critical role in research because they provide a biological model that can be used for evaluating the affectation of diseases and injuries, and for the evaluation of the effectiveness of new drugs and treatments. The analysis of locomotion in laboratory rats facilitates the understanding of motor defects in many diseases, as well as the damage and recovery after peripheral and central nervous system injuries. However, locomotion analysis of rats remains a great challenge due to the necessity of labor intensive manual annotations of video data required to obtain quantitative measurements of the kinematics of the rodent extremities. In this work, we present a method that is based on the use of a bio-inspired algorithm that fits a kinematic model of the hind limbs of rats to binary images corresponding to the segmented marker of images corresponding to the rat’s gait. The bio-inspired algorithm combines a genetic algorithm for a group of the optimization variables with a local search for a second group of the optimization variables. RESULTS: Our results indicate the feasibility of employing the proposed approach for the automatic annotation and analysis of the locomotion patterns of the posterior extremities of laboratory rats. CONCLUSIONS: The adjustment of the hind limb kinematic model to markers of the video frames corresponding to rat’s gait sequences could then be used to analyze the motion patterns during the steps, which, in turn, can be useful for performing quantitative evaluations of the effect of lesions and treatments on rats models. BioMed Central 2018-11-20 /pmc/articles/PMC6245690/ /pubmed/30458788 http://dx.doi.org/10.1186/s12938-018-0565-6 Text en © The Author(s) 2018 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 Research
Valdez, S. Ivvan
González-Sandoval, Josué
Dueñas-Jiménez, Sergio
Franco Rodríguez, Nancy Elizabeth
Torres-Ramos, Sulema
Mendizabal-Ruiz, Gerardo
Modeling hind-limb kinematics using a bio-inspired algorithm with a local search
title Modeling hind-limb kinematics using a bio-inspired algorithm with a local search
title_full Modeling hind-limb kinematics using a bio-inspired algorithm with a local search
title_fullStr Modeling hind-limb kinematics using a bio-inspired algorithm with a local search
title_full_unstemmed Modeling hind-limb kinematics using a bio-inspired algorithm with a local search
title_short Modeling hind-limb kinematics using a bio-inspired algorithm with a local search
title_sort modeling hind-limb kinematics using a bio-inspired algorithm with a local search
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6245690/
https://www.ncbi.nlm.nih.gov/pubmed/30458788
http://dx.doi.org/10.1186/s12938-018-0565-6
work_keys_str_mv AT valdezsivvan modelinghindlimbkinematicsusingabioinspiredalgorithmwithalocalsearch
AT gonzalezsandovaljosue modelinghindlimbkinematicsusingabioinspiredalgorithmwithalocalsearch
AT duenasjimenezsergio modelinghindlimbkinematicsusingabioinspiredalgorithmwithalocalsearch
AT francorodrigueznancyelizabeth modelinghindlimbkinematicsusingabioinspiredalgorithmwithalocalsearch
AT torresramossulema modelinghindlimbkinematicsusingabioinspiredalgorithmwithalocalsearch
AT mendizabalruizgerardo modelinghindlimbkinematicsusingabioinspiredalgorithmwithalocalsearch