Electroencephalogram subject identification: A review

• Published in: Expert systems with applications Vol. 41; no. 15; pp. 6537 - 6554
• Main Authors: Del Pozo-Banos, Marcos, Alonso, Jesús B., Ticay-Rivas, Jaime R., Travieso, Carlos M.
• Format: Journal Article
• Language: English
• Published: Amsterdam Elsevier Ltd 01.11.2014; Elsevier
• Subjects: Algorithms; Applied sciences; Biological and medical sciences; Biometrics; Computer science; control theory; systems; Computer systems and distributed systems. User interface; Data processing. List processing. Character string processing; EEC; Electrodes; Electrodiagnosis. Electric activity recording; Electroencephalogram; Exact sciences and technology; Genetics; Identification; Investigative techniques, diagnostic techniques (general aspects); Medical sciences; Memory organisation. Data processing; Nervous system; Recording; Rhythm; Searching; Software; State of the art; Support vector machines; Biometrics; Genetics; Identification; Electroencephalogram; Performance evaluation; Alpha rhythm; Time frequency domain method; Inheritance; Electroencephalography; Variable frequency; Review; Modeling; Neurophysiology; Electrodes; Vector support machine; Data fusion; Genetic engineering; Categorization; Power spectrum

•The state-of-the-art on EEG based subject identification.•Research methodology on EEG for Biometrics.•The genotype–phenotype map of the EEG.•Published works on EEG identification. This is, to the best of the authors knowledge, the first complete research on the state of the art on EEG based subject...