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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...
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| Publicado no: | Sci Rep |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Publishing Group UK
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7484900/ https://ncbi.nlm.nih.gov/pubmed/32913275 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-020-72051-1 |
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