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dc.contributor.authorLópez Gordo, Miguel Ángel 
dc.contributor.authorSánchez-Morillo, Daniel
dc.contributor.authorPelayo Valle, Francisco José 
dc.date.accessioned2014-09-04T07:38:02Z
dc.date.available2014-09-04T07:38:02Z
dc.date.issued2014
dc.identifier.citationLópez-Gordo, M.A.; Sánchez-Morillo, D.; Pelayo Valle, F. Dry EEG Electrodes. Sensors, 14: 12847-12870 (2014). [http://hdl.handle.net/10481/32896]es_ES
dc.identifier.issn1424-8220
dc.identifier.urihttp://hdl.handle.net/10481/32896
dc.description.abstractElectroencephalography (EEG) emerged in the second decade of the 20th century as a technique for recording the neurophysiological response. Since then, there has been little variation in the physical principles that sustain the signal acquisition probes, otherwise called electrodes. Currently, new advances in technology have brought new unexpected fields of applications apart from the clinical, for which new aspects such as usability and gel-free operation are first order priorities. Thanks to new advances in materials and integrated electronic systems technologies, a new generation of dry electrodes has been developed to fulfill the need. In this manuscript, we review current approaches to develop dry EEG electrodes for clinical and other applications, including information about measurement methods and evaluation reports. We conclude that, although a broad and non-homogeneous diversity of approaches has been evaluated without a consensus in procedures and methodology, their performances are not far from those obtained with wet electrodes, which are considered the gold standard, thus enabling the former to be a useful tool in a variety of novel applications.es_ES
dc.description.sponsorshipThis work was supported by Nicolo Association for the R+D+i in Neurotechnologies for disability, the research project P11-TIC-7983, Junta of Andalucia (Spain) and the Spanish National Grant TIN2012-32030, co-financed by the European Regional Development Fund (ERDF). We also thank Erik Jung, head of the Medical Microsystems working group, at the Department of System Integration & Interconnection Technologies, Fraunhofer IZM (Berlin), for his support.es_ES
dc.language.isoenges_ES
dc.publisherMDPIes_ES
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivs 3.0 Licensees_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es_ES
dc.subjectElectroencephalography (EEG)es_ES
dc.subjectDry electrodeses_ES
dc.subjectBenchmarking es_ES
dc.subjectBrain-computer interfacees_ES
dc.titleDry EEG Electrodeses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.identifier.doi10.3390/s140712847


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