Electromyographic signals processing for robotic assistance tools in the rural population
This paper presents an algorithm to process the electromyography signal (EMG). It requires low computational power which allows it to be implemented in embedded, low cost platforms. The proposed algorithm uses the Short-Time Fourier Transform (STFT) and the feature extraction methods, namely, modifi...
- Autores:
-
A. Ramirez, D. Andres
Jiménez Hernández, Mario Fernando
Arevalo, Miguel F.
- Tipo de recurso:
- https://purl.org/coar/resource_type/c_6501
- Fecha de publicación:
- 2020
- Institución:
- Universidad El Bosque
- Repositorio:
- Repositorio U. El Bosque
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.unbosque.edu.co:20.500.12495/4614
- Acceso en línea:
- https://hdl.handle.net/20.500.12495/4614
https://doi.org/10.1109/BIOROB.2014.6913869
- Palabra clave:
- Rights
- License
- Acceso abierto
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| dc.title.spa.fl_str_mv |
Electromyographic signals processing for robotic assistance tools in the rural population |
| dc.title.translated.spa.fl_str_mv |
Electromyographic signals processing for robotic assistance tools in the rural population |
| title |
Electromyographic signals processing for robotic assistance tools in the rural population |
| spellingShingle |
Electromyographic signals processing for robotic assistance tools in the rural population |
| title_short |
Electromyographic signals processing for robotic assistance tools in the rural population |
| title_full |
Electromyographic signals processing for robotic assistance tools in the rural population |
| title_fullStr |
Electromyographic signals processing for robotic assistance tools in the rural population |
| title_full_unstemmed |
Electromyographic signals processing for robotic assistance tools in the rural population |
| title_sort |
Electromyographic signals processing for robotic assistance tools in the rural population |
| dc.creator.fl_str_mv |
A. Ramirez, D. Andres Jiménez Hernández, Mario Fernando Arevalo, Miguel F. |
| dc.contributor.author.none.fl_str_mv |
A. Ramirez, D. Andres Jiménez Hernández, Mario Fernando Arevalo, Miguel F. |
| dc.contributor.orcid.none.fl_str_mv |
Jiménez Hernández, Mario Fernando [0000-0003-0965-277X] |
| description |
This paper presents an algorithm to process the electromyography signal (EMG). It requires low computational power which allows it to be implemented in embedded, low cost platforms. The proposed algorithm uses the Short-Time Fourier Transform (STFT) and the feature extraction methods, namely, modified mean frequency, and the first spectral moment (SM1). This algorithms is able to identify four different movements of one upper limb, allowing to control a robotic assistance tool with four degrees of freedom. Thanks to the properties of this algorithm, rural populations can have access to this type of technologies. |
| publishDate |
2020 |
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2020-10-30T21:32:02Z |
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2020-10-30T21:32:02Z |
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http://purl.org/coar/resource_type/c_2df8fbb1 |
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http://purl.org/coar/version/c_970fb48d4fbd8a85 |
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Artículo de revista |
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https://purl.org/coar/resource_type/c_6501 |
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info:eu-repo/semantics/article |
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https://purl.org/coar/resource_type/c_6501 |
| dc.identifier.uri.none.fl_str_mv |
https://hdl.handle.net/20.500.12495/4614 |
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https://doi.org/10.1109/BIOROB.2014.6913869 |
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instname:Universidad El Bosque |
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reponame:Repositorio Institucional Universidad El Bosque |
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repourl:https://repositorio.unbosque.edu.co |
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https://hdl.handle.net/20.500.12495/4614 https://doi.org/10.1109/BIOROB.2014.6913869 |
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instname:Universidad El Bosque reponame:Repositorio Institucional Universidad El Bosque repourl:https://repositorio.unbosque.edu.co |
| dc.language.iso.none.fl_str_mv |
eng |
| language |
eng |
| dc.relation.uri.none.fl_str_mv |
https://ieeexplore.ieee.org/document/6913869 |
| dc.rights.coar.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
| dc.rights.local.spa.fl_str_mv |
Acceso abierto |
| dc.rights.accessrights.none.fl_str_mv |
https://purl.org/coar/access_right/c_abf2 Acceso abierto |
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2014 |
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Acceso abierto https://purl.org/coar/access_right/c_abf2 2014 http://purl.org/coar/access_right/c_abf2 |
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application/pdf |
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IEEE Computer Society |
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Universidad El Bosque |
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A. Ramirez, D. AndresJiménez Hernández, Mario FernandoArevalo, Miguel F.Jiménez Hernández, Mario Fernando [0000-0003-0965-277X]2020-10-30T21:32:02Z2020-10-30T21:32:02Zhttps://hdl.handle.net/20.500.12495/4614https://doi.org/10.1109/BIOROB.2014.6913869instname:Universidad El Bosquereponame:Repositorio Institucional Universidad El Bosquerepourl:https://repositorio.unbosque.edu.coapplication/pdfengIEEE Computer Societyhttps://ieeexplore.ieee.org/document/6913869Electromyographic signals processing for robotic assistance tools in the rural populationElectromyographic signals processing for robotic assistance tools in the rural populationArtículo de revistahttps://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1info:eu-repo/semantics/articlehttp://purl.org/coar/version/c_970fb48d4fbd8a85This paper presents an algorithm to process the electromyography signal (EMG). It requires low computational power which allows it to be implemented in embedded, low cost platforms. The proposed algorithm uses the Short-Time Fourier Transform (STFT) and the feature extraction methods, namely, modified mean frequency, and the first spectral moment (SM1). This algorithms is able to identify four different movements of one upper limb, allowing to control a robotic assistance tool with four degrees of freedom. Thanks to the properties of this algorithm, rural populations can have access to this type of technologies.Acceso abiertohttps://purl.org/coar/access_right/c_abf2Acceso abierto2014http://purl.org/coar/access_right/c_abf2LICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://pruebas-update-repositorio-unbosque.cloudbiteca.com/bitstreams/83dc7099-ae87-406c-9d2b-7823919ac575/download8a4605be74aa9ea9d79846c1fba20a33MD52falseAnonymousREADTHUMBNAILGonzalez, L.V., Arango, A., López, J.P., Gnecco, J.P._2020.pdf.jpgGonzalez, L.V., Arango, A., López, J.P., Gnecco, J.P._2020.pdf.jpgimage/jpeg5775https://pruebas-update-repositorio-unbosque.cloudbiteca.com/bitstreams/e51bd805-9bef-435d-b70a-12a8ebedff44/download7210a811635d1799e7c05fee5d259be7MD53falseAnonymousREAD20.500.12495/4614oai:pruebas-update-repositorio-unbosque.cloudbiteca.com:20.500.12495/46142022-05-03T02:06:00.204Zmetadata.onlyhttps://pruebas-update-repositorio-unbosque.cloudbiteca.comRepositorio Institucional Universidad El Bosquebibliotecas@biteca.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 |