Analysis of time series of surface electromyography and accelerometry in dogs

Detalhes bibliográficos
Autor(a) principal: Negrão, Roberta Rocha [UNESP]
Data de Publicação: 2022
Outros Autores: Rahal, Sheila Canevese [UNESP], Kano, Washington Takashi [UNESP], Mesquita, Luciane Reis [UNESP], Hormaza, Joel Mesa [UNESP]
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1016/j.bspc.2022.103518
http://hdl.handle.net/11449/230238
Resumo: Accelerometers may be used as a tool for objective analysis of kinetic and/or temporospatial gait parameters; however, only a few studies have been done in small animals. Therefore, this study analysed surface electromyography (sEMG) signals related to inertial sensors (accelerometry), aiming to create a reproducible standard in dogs. The hypothesis was that the combined use of an accelerometer and sEMG sensors could be used to identify the phases of the gait cycle and that the standard data established in healthy dogs could be used to compare data obtained from dogs with hip dysplasia. These signs were obtained from two different muscles, the biceps femoris and vastus lateralis muscles, from two breeds of dogs (Labrador retriever and golden retriever), during a walking gait at a controlled velocity. After signal processing, a second-order low-pass Butterworth filter with a cut-off frequency of 6 Hz was used, and an algorithm was applied to determine a threshold value for the gait cycle phases. Then, correlations between signals from both transducers were determined. Data relating to percent muscle activity, correlation and asymmetric functions, stance time and swing during the gait cycle in healthy dogs were generated after signal processing. Signals collected from dogs with hip dysplasia fell outside of the reference intervals established in healthy dogs. In conclusion, the methods applied for signal analysis and processing allowed the identification of structures of muscular activity during the gait cycle and the establishment of normal distribution values in healthy dogs.
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spelling Analysis of time series of surface electromyography and accelerometry in dogsGaitInertial sensorsMuscleSignal processingAccelerometers may be used as a tool for objective analysis of kinetic and/or temporospatial gait parameters; however, only a few studies have been done in small animals. Therefore, this study analysed surface electromyography (sEMG) signals related to inertial sensors (accelerometry), aiming to create a reproducible standard in dogs. The hypothesis was that the combined use of an accelerometer and sEMG sensors could be used to identify the phases of the gait cycle and that the standard data established in healthy dogs could be used to compare data obtained from dogs with hip dysplasia. These signs were obtained from two different muscles, the biceps femoris and vastus lateralis muscles, from two breeds of dogs (Labrador retriever and golden retriever), during a walking gait at a controlled velocity. After signal processing, a second-order low-pass Butterworth filter with a cut-off frequency of 6 Hz was used, and an algorithm was applied to determine a threshold value for the gait cycle phases. Then, correlations between signals from both transducers were determined. Data relating to percent muscle activity, correlation and asymmetric functions, stance time and swing during the gait cycle in healthy dogs were generated after signal processing. Signals collected from dogs with hip dysplasia fell outside of the reference intervals established in healthy dogs. In conclusion, the methods applied for signal analysis and processing allowed the identification of structures of muscular activity during the gait cycle and the establishment of normal distribution values in healthy dogs.Department of Veterinary Surgery and Animal Reproduction School of Veterinary Medicine and Animal Science – São Paulo State University (UNESP)Department of Physics and Biophysics Institute of Biosciences – São Paulo State University (UNESP)Department of Veterinary Surgery and Animal Reproduction School of Veterinary Medicine and Animal Science – São Paulo State University (UNESP)Department of Physics and Biophysics Institute of Biosciences – São Paulo State University (UNESP)Universidade Estadual Paulista (UNESP)Negrão, Roberta Rocha [UNESP]Rahal, Sheila Canevese [UNESP]Kano, Washington Takashi [UNESP]Mesquita, Luciane Reis [UNESP]Hormaza, Joel Mesa [UNESP]2022-04-29T08:38:41Z2022-04-29T08:38:41Z2022-04-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1016/j.bspc.2022.103518Biomedical Signal Processing and Control, v. 74.1746-81081746-8094http://hdl.handle.net/11449/23023810.1016/j.bspc.2022.1035182-s2.0-85123007999Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengBiomedical Signal Processing and Controlinfo:eu-repo/semantics/openAccess2024-09-09T14:01:21Zoai:repositorio.unesp.br:11449/230238Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestrepositoriounesp@unesp.bropendoar:29462024-09-09T14:01:21Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Analysis of time series of surface electromyography and accelerometry in dogs
title Analysis of time series of surface electromyography and accelerometry in dogs
spellingShingle Analysis of time series of surface electromyography and accelerometry in dogs
Negrão, Roberta Rocha [UNESP]
Gait
Inertial sensors
Muscle
Signal processing
title_short Analysis of time series of surface electromyography and accelerometry in dogs
title_full Analysis of time series of surface electromyography and accelerometry in dogs
title_fullStr Analysis of time series of surface electromyography and accelerometry in dogs
title_full_unstemmed Analysis of time series of surface electromyography and accelerometry in dogs
title_sort Analysis of time series of surface electromyography and accelerometry in dogs
author Negrão, Roberta Rocha [UNESP]
author_facet Negrão, Roberta Rocha [UNESP]
Rahal, Sheila Canevese [UNESP]
Kano, Washington Takashi [UNESP]
Mesquita, Luciane Reis [UNESP]
Hormaza, Joel Mesa [UNESP]
author_role author
author2 Rahal, Sheila Canevese [UNESP]
Kano, Washington Takashi [UNESP]
Mesquita, Luciane Reis [UNESP]
Hormaza, Joel Mesa [UNESP]
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (UNESP)
dc.contributor.author.fl_str_mv Negrão, Roberta Rocha [UNESP]
Rahal, Sheila Canevese [UNESP]
Kano, Washington Takashi [UNESP]
Mesquita, Luciane Reis [UNESP]
Hormaza, Joel Mesa [UNESP]
dc.subject.por.fl_str_mv Gait
Inertial sensors
Muscle
Signal processing
topic Gait
Inertial sensors
Muscle
Signal processing
description Accelerometers may be used as a tool for objective analysis of kinetic and/or temporospatial gait parameters; however, only a few studies have been done in small animals. Therefore, this study analysed surface electromyography (sEMG) signals related to inertial sensors (accelerometry), aiming to create a reproducible standard in dogs. The hypothesis was that the combined use of an accelerometer and sEMG sensors could be used to identify the phases of the gait cycle and that the standard data established in healthy dogs could be used to compare data obtained from dogs with hip dysplasia. These signs were obtained from two different muscles, the biceps femoris and vastus lateralis muscles, from two breeds of dogs (Labrador retriever and golden retriever), during a walking gait at a controlled velocity. After signal processing, a second-order low-pass Butterworth filter with a cut-off frequency of 6 Hz was used, and an algorithm was applied to determine a threshold value for the gait cycle phases. Then, correlations between signals from both transducers were determined. Data relating to percent muscle activity, correlation and asymmetric functions, stance time and swing during the gait cycle in healthy dogs were generated after signal processing. Signals collected from dogs with hip dysplasia fell outside of the reference intervals established in healthy dogs. In conclusion, the methods applied for signal analysis and processing allowed the identification of structures of muscular activity during the gait cycle and the establishment of normal distribution values in healthy dogs.
publishDate 2022
dc.date.none.fl_str_mv 2022-04-29T08:38:41Z
2022-04-29T08:38:41Z
2022-04-01
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1016/j.bspc.2022.103518
Biomedical Signal Processing and Control, v. 74.
1746-8108
1746-8094
http://hdl.handle.net/11449/230238
10.1016/j.bspc.2022.103518
2-s2.0-85123007999
url http://dx.doi.org/10.1016/j.bspc.2022.103518
http://hdl.handle.net/11449/230238
identifier_str_mv Biomedical Signal Processing and Control, v. 74.
1746-8108
1746-8094
10.1016/j.bspc.2022.103518
2-s2.0-85123007999
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Biomedical Signal Processing and Control
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv repositoriounesp@unesp.br
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