A preliminary study on automatic detection and filtering of artifacts from EEG signals

dc.contributor.author	Moncada Martins, Fernando
dc.contributor.author	González Suárez, Víctor Manuel
dc.contributor.author	Álvarez García, Víctor Manuel
dc.contributor.author	García, Beatriz
dc.contributor.author	Villar Flecha, José Ramón
dc.date.accessioned	2021-11-18T12:24:16Z
dc.date.available	2021-11-18T12:24:16Z
dc.date.issued	2021
dc.identifier.isbn	9781665441216
dc.identifier.issn	1063-7125
dc.identifier.uri	http://hdl.handle.net/10651/61154
dc.description	IEEE International Symposium on Computer-Based Medical Systems (CBMS) (34th. 2021. Virtual)
dc.description.sponsorship	This research has been funded by the Spanish Ministry of Science and Innovation under project MINECO-TIN2017-84804-R and by the Grant FC-GRUPIN-IDI/2018/000226 project from the Asturias Regional Government.
dc.format.extent	p. 420-425
dc.language.iso	eng
dc.relation.ispartof	Proceedings - IEEE Symposium on Computer-Based Medical Systems
dc.rights	© 2021 IEEE
dc.source	Scopus
dc.source.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85110786669&doi=10.1109%2fCBMS52027.2021.00046&partnerID=40&md5=214fa100d58ce8aff461a5ded135943b
dc.title	A preliminary study on automatic detection and filtering of artifacts from EEG signals
dc.type	conference output	spa
dc.identifier.doi	10.1109/CBMS52027.2021.00046
dc.relation.projectID	MINECO-TIN2017-84804-R
dc.relation.projectID	FC-GRUPIN-IDI/2018/000226
dc.relation.publisherversion	http://dx.doi.org/10.1109/CBMS52027.2021.00046
dc.rights.accessRights	open access
dc.type.hasVersion	AM