Multi-objective optimization for EEG channel selection and accurate intruder detection in an EEG-based subject identification system

We present a four-objective optimization method for optimal electroencephalographic (EEG) channel selection to provide access to subjects with permission in a system by detecting intruders and identifying the subject. Each instance was represented by four features computed from two sub-bands, extrac...

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Veröffentlicht in:	Scientific reports Jg. 10; H. 1; S. 5850
Hauptverfasser:	Moctezuma, Luis Alfredo, Molinas, Marta
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Nature Publishing Group UK 03.04.2020 Nature Publishing Group
Schlagworte:	631/114/116 631/114/1305 631/114/1314 631/114/2397 631/378/116 631/61/350/59 639/166/985 639/705/1041 692/53 Accuracy Adult Algorithms Brain - physiology EEG Electroencephalography - methods Event-related potentials Evoked Potentials - physiology Humanities and Social Sciences Humans multidisciplinary Optimization Patient Identification Systems - methods Reproducibility of Results Science Science (multidisciplinary) Support Vector Machine
ISSN:	2045-2322, 2045-2322
Online-Zugang:	Volltext
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