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

dc.contributor.author	Casteleiro Roca, José Luis
dc.contributor.author	Jove, E.
dc.contributor.author	González Cava, J. M.
dc.contributor.author	Méndez Pérez, Juan Albino
dc.contributor.author	Calvo Rolle, José Luis
dc.contributor.author	Blanco Álvarez, Francisco
dc.date.accessioned	2018-11-27T08:03:15Z
dc.date.available	2018-11-27T08:03:15Z
dc.date.issued	2018
dc.identifier.citation	Neural Computing and Applications, p. 1-10 (2018); doi:10.1007/s00521-018-3605-z
dc.identifier.issn	0941-0643
dc.identifier.uri	http://hdl.handle.net/10651/49179
dc.description.sponsorship	Spanish Ministry of Education, Culture and Sport, under the ‘‘Formación de Profesorado’’ Grant FPU15/03347.
dc.format.extent	p. 1-10
dc.language.iso	eng
dc.relation.ispartof	Neural Computing and Applications
dc.rights	© The Natural Computing Applications Forum 2018
dc.source	Scopus
dc.source.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85049593378&doi=10.1007%2fs00521-018-3605-z&partnerID=40&md5=844bacf026e3006b5eada8539338e94f
dc.title	Hybrid model for the ANI index prediction using Remifentanil drug and EMG signal
dc.type	journal article
dc.identifier.doi	10.1007/s00521-018-3605-z
dc.relation.projectID	MEC/FPU15/03347
dc.relation.publisherversion	http://dx.doi.org/10.1007/s00521-018-3605-z

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