Electromyographic signals processing for robotic assistance tools in the rural population

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dc.contributor.authorA. Ramirez, D. Andres
dc.contributor.authorJiménez Hernández, Mario Fernando
dc.contributor.authorArevalo, Miguel F.
dc.contributor.orcidJiménez Hernández, Mario Fernando [0000-0003-0965-277X]
dc.date.accessioned2020-10-30T21:32:02Z
dc.date.available2020-10-30T21:32:02Z
dc.description.abstractenglishThis 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.eng
dc.format.mimetypeapplication/pdf
dc.identifier.doihttps://doi.org/10.1109/BIOROB.2014.6913869
dc.identifier.instnameinstname:Universidad El Bosquespa
dc.identifier.reponamereponame:Repositorio Institucional Universidad El Bosquespa
dc.identifier.repourlrepourl:https://repositorio.unbosque.edu.co
dc.identifier.urihttps://hdl.handle.net/20.500.12495/4614
dc.language.isoeng
dc.publisherIEEE Computer Societyspa
dc.relation.urihttps://ieeexplore.ieee.org/document/6913869
dc.rights.accessrightshttps://purl.org/coar/access_right/c_abf2
dc.rights.accessrightsinfo:eu-repo/semantics/openAccess
dc.rights.accessrightsAcceso abierto
dc.rights.creativecommons2014
dc.rights.localAcceso abiertospa
dc.titleElectromyographic signals processing for robotic assistance tools in the rural populationspa
dc.title.translatedElectromyographic signals processing for robotic assistance tools in the rural populationspa
dc.type.coarhttps://purl.org/coar/resource_type/c_6501
dc.type.driverinfo:eu-repo/semantics/article
dc.type.hasversioninfo:eu-repo/semantics/publishedVersion
dc.type.localArtículo de revista

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