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EMG Characterization and Processing in Production Engineering

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dc.contributor.authorOlmo, Manuel del
dc.contributor.authorDomingo Navas, María Rosario
dc.contributor.funderAgencia Estatal de Investigación. España
dc.date.accessioned2026-01-26T18:30:37Z
dc.date.available2026-01-26T18:30:37Z
dc.date.issued2020-12-20
dc.descriptionThe registered version of this article, first published in Materials, is available online at the publisher's website: MDPI, https://doi.org/10.3390/ma13245815
dc.descriptionLa versión registrada de este artículo, publicado por primera vez en Materials, está disponible en línea en el sitio web del editor: MDPI, https://doi.org/10.3390/ma13245815
dc.description.abstractElectromyography (EMG) signals are biomedical signals that measure electrical currents generated during muscle contraction. These signals are strongly influenced by physiological and anatomical characteristics of the muscles and represent the neuromuscular activities of the human body. The evolution of EMG analysis and acquisition techniques makes this technology more reliable for production engineering applications, overcoming some of its inherent issues. Taking as an example, the fatigue monitoring of workers as well as enriched human–machine interaction (HMI) systems used in collaborative tasks are now possible with this technology. The main objective of this research is to evaluate the current implementation of EMG technology within production engineering, its weaknesses, opportunities, and synergies with other technologies, with the aim of developing more natural and efficient HMI systems that could improve the safety and productivity within production environments.es
dc.description.provenanceMade available in DSpace on 2026-01-26T18:30:37Z (GMT). No. of bitstreams: 1 EMG Characterization and Processing in Production Engineering.pdf: 482677 bytes, checksum: 2b3c37962713029a29c512881faccc19 (MD5) Previous issue date: 2020-12-20en
dc.description.sponsorshipThis research was funded by Spanish Ministry of Science, Innovation and Universities, RTI2018-102215-B-I00 project and Máster en Ingeniería Avanzada de Fabricación–UNED (Master in Advanced Manufacturing Engineering).
dc.description.versionversión publicada
dc.identifier.citationOlmo, M. d., & Domingo, R. (2020). EMG Characterization and Processing in Production Engineering. Materials, 13(24), 5815. https://doi.org/10.3390/ma13245815
dc.identifier.doihttps://doi.org/10.3390/ma13245815
dc.identifier.eissn1996-1944
dc.identifier.issn.
dc.identifier.urihttps://hdl.handle.net/20.500.14468/31572
dc.journal.issue24
dc.journal.titleMaterials
dc.journal.volume13
dc.language.isoen
dc.publisherMDPI
dc.relation.centerE.T.S. de Ingenieros Industriales
dc.relation.departmentIngeniería de Construcción y Fabricación
dc.relation.projectidinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-102215-B-I00
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.es
dc.subject3305 Tecnología de la construcción
dc.subject.keywordsEMGen
dc.subject.keywordsproduction engineeringen
dc.subject.keywordshuman-machine interactionen
dc.subject.keywordsmonitoringen
dc.subject.keywordsergonomicsen
dc.titleEMG Characterization and Processing in Production Engineeringen
dc.typeartículoes
dc.typejournal articleen
dspace.entity.typePublication
relation.isAuthorOfPublication6b34d535-7b88-48ed-9206-435d40b0b5b5
relation.isAuthorOfPublication.latestForDiscovery6b34d535-7b88-48ed-9206-435d40b0b5b5
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