Analysis of time series of surface electromyography and accelerometry in dogs
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , |
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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Repositório Institucional da UNESP |
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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 |
_version_ |
1813546579040141312 |