Towards a minimal EEG channel array for a biometric system using resting-state and a genetic algorithm for channel selection

We present a new approach for a biometric system based on electroencephalographic (EEG) signals of resting-state, that can identify a subject and reject intruders with a minimal subset of EEG channels. To select features, we first use the discrete wavelet transform (DWT) or empirical mode decomposit...

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Detalles Bibliográficos
Autores principales: Moctezuma, Luis Alfredo, Molinas, Marta
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7484900/
https://www.ncbi.nlm.nih.gov/pubmed/32913275
http://dx.doi.org/10.1038/s41598-020-72051-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7484900/
https://www.ncbi.nlm.nih.gov/pubmed/32913275
http://dx.doi.org/10.1038/s41598-020-72051-1

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