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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...
| 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/PMC7125093/ https://www.ncbi.nlm.nih.gov/pubmed/32246122 http://dx.doi.org/10.1038/s41598-020-62712-6 |