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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Nature Publishing Group UK
2020
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| 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 |