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Hybrid model for the ANI index prediction using Remifentanil drug and EMG signal

dc.contributor.authorCasteleiro Roca, José Luis
dc.contributor.authorJove, E.
dc.contributor.authorGonzález Cava, J. M.
dc.contributor.authorMéndez Pérez, Juan Albino
dc.contributor.authorCalvo Rolle, José Luis
dc.contributor.authorBlanco Álvarez, Francisco 
dc.date.accessioned2018-11-27T08:03:15Z
dc.date.available2018-11-27T08:03:15Z
dc.date.issued2018
dc.identifier.citationNeural Computing and Applications, p. 1-10 (2018); doi:10.1007/s00521-018-3605-z
dc.identifier.issn0941-0643
dc.identifier.urihttp://hdl.handle.net/10651/49179
dc.description.sponsorshipSpanish Ministry of Education, Culture and Sport, under the ‘‘Formación de Profesorado’’ Grant FPU15/03347.
dc.format.extentp. 1-10
dc.language.isoeng
dc.relation.ispartofNeural Computing and Applications
dc.rights© The Natural Computing Applications Forum 2018
dc.sourceScopus
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85049593378&doi=10.1007%2fs00521-018-3605-z&partnerID=40&md5=844bacf026e3006b5eada8539338e94f
dc.titleHybrid model for the ANI index prediction using Remifentanil drug and EMG signal
dc.typejournal article
dc.identifier.doi10.1007/s00521-018-3605-z
dc.relation.projectIDMEC/FPU15/03347
dc.relation.publisherversionhttp://dx.doi.org/10.1007/s00521-018-3605-z


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