Sparse Logistic Regression-Based EEG Channel Optimization Algorithm for Improved Universality across Participants

Electroencephalogram (EEG) channel optimization can reduce redundant information and improve EEG decoding accuracy by selecting the most informative channels. This article aims to investigate the universality regarding EEG channel optimization in terms of how well the selected EEG channels can be ge...

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Detalles Bibliográficos
Autores principales: Shi, Yuxi, Li, Yuanhao, Koike, Yasuharu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10295307/
https://www.ncbi.nlm.nih.gov/pubmed/37370595
http://dx.doi.org/10.3390/bioengineering10060664

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10295307/
https://www.ncbi.nlm.nih.gov/pubmed/37370595
http://dx.doi.org/10.3390/bioengineering10060664

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