{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,3]],"date-time":"2026-01-03T06:52:22Z","timestamp":1767423142519,"version":"build-2065373602"},"reference-count":56,"publisher":"MDPI AG","issue":"9","license":[{"start":{"date-parts":[[2023,4,24]],"date-time":"2023-04-24T00:00:00Z","timestamp":1682294400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Consejer\u00eda de Econom\u00eda, Industria, Comercio y Conocimiento of the Canary Islands Government (Spain)","award":["ProID2017010100","TEC2016-80063-C3-2-R","MACBIOIDI2 MAC2\/1.1b\/352"],"award-info":[{"award-number":["ProID2017010100","TEC2016-80063-C3-2-R","MACBIOIDI2 MAC2\/1.1b\/352"]}]},{"DOI":"10.13039\/501100003329","name":"MINECO","doi-asserted-by":"publisher","award":["ProID2017010100","TEC2016-80063-C3-2-R","MACBIOIDI2 MAC2\/1.1b\/352"],"award-info":[{"award-number":["ProID2017010100","TEC2016-80063-C3-2-R","MACBIOIDI2 MAC2\/1.1b\/352"]}],"id":[{"id":"10.13039\/501100003329","id-type":"DOI","asserted-by":"publisher"}]},{"name":"European Regional Development Fund (ERDF)","award":["ProID2017010100","TEC2016-80063-C3-2-R","MACBIOIDI2 MAC2\/1.1b\/352"],"award-info":[{"award-number":["ProID2017010100","TEC2016-80063-C3-2-R","MACBIOIDI2 MAC2\/1.1b\/352"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Biometric identification uses person recognition techniques based on the extraction of some of their physical or biological properties, which make it possible to characterize and differentiate one person from another and provide irreplaceable and critical information that is suitable for application in security systems. The extraction of information from the electrical biosignal of the human brain has received a great deal of attention in recent years. Analysis of EEG signals has been widely used over the last century in medicine and as a basis for brain\u2013machine interfaces (BMIs). In addition, the application of EEG signals for biometric recognition has recently been demonstrated. In this context, EEG-based biometric systems are often considered in two different applications: identification (one-to-many classification) and authentication (one-to-one or true\/false classification). In this article, we establish a methodology for selecting and reducing the minimum number of EEG sensors necessary to carry out effective biometric identification of individuals. Two methodologies were applied, one based on principal component analysis and the other on the Wilcoxon signed-rank test in order to reduce the number of electrodes. This allowed us to identify, according to the methodology used, the areas of the cerebral cortex that would allow selection of the minimum number of electrodes necessary for the identification of individuals. The methodologies were applied to two databases, one with 13 people with self-collected recordings using low-cost EEG equipment, EMOTIV EPOC+, and another publicly available database with recordings from 109 people provided by the PhysioNet BCI.<\/jats:p>","DOI":"10.3390\/s23094239","type":"journal-article","created":{"date-parts":[[2023,4,25]],"date-time":"2023-04-25T01:37:01Z","timestamp":1682386621000},"page":"4239","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["Selection of the Minimum Number of EEG Sensors to Guarantee Biometric Identification of Individuals"],"prefix":"10.3390","volume":"23","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3053-5009","authenticated-orcid":false,"given":"Jordan","family":"Ortega-Rodr\u00edguez","sequence":"first","affiliation":[{"name":"Department of Industrial Engineering, University of La Laguna, 38200 San Crist\u00f3bal de La Laguna, Spain"},{"name":"IACTEC Medical Technology Group, Instituto de Astrof\u00edsica de Canarias (IAC), 38320 San Crist\u00f3bal de La Laguna, Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7737-2249","authenticated-orcid":false,"given":"Jos\u00e9 Francisco","family":"G\u00f3mez-Gonz\u00e1lez","sequence":"additional","affiliation":[{"name":"Department of Industrial Engineering, University of La Laguna, 38200 San Crist\u00f3bal de La Laguna, Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5965-164X","authenticated-orcid":false,"given":"Ernesto","family":"Pereda","sequence":"additional","affiliation":[{"name":"Department of Industrial Engineering, University of La Laguna, 38200 San Crist\u00f3bal de La Laguna, Spain"}]}],"member":"1968","published-online":{"date-parts":[[2023,4,24]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Thorpe, J., van Oorschot, P.C., and Somayaji, A. 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