A study on feature selection using multi-domain feature extraction for automated k-complex detection

BACKGROUND: K-complex detection plays a significant role in the field of sleep research. However, manual annotation for electroencephalography (EEG) recordings by visual inspection from experts is time-consuming and subjective. Therefore, there is a necessity to implement automatic detection methods...

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Detalles Bibliográficos
Autores principales: Li, Yabing, Dong, Xinglong, Song, Kun, Bai, Xiangyun, Li, Hongye, Karray, Fakhreddine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10514364/
https://www.ncbi.nlm.nih.gov/pubmed/37746152
http://dx.doi.org/10.3389/fnins.2023.1224784

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10514364/
https://www.ncbi.nlm.nih.gov/pubmed/37746152
http://dx.doi.org/10.3389/fnins.2023.1224784

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