Influence of Channel Selection and Subject’s Age on the Performance of the Single Channel EEG-Based Automatic Sleep Staging Algorithms

The electroencephalogram (EEG) signal is a key parameter used to identify the different sleep stages present in an overnight sleep recording. Sleep staging is crucial in the diagnosis of several sleep disorders; however, the manual annotation of the EEG signal is a costly and time-consuming process....

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Detalles Bibliográficos
Autores principales: Nazih, Waleed, Shahin, Mostafa, Eldesouki, Mohamed I., Ahmed, Beena
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9866121/
https://www.ncbi.nlm.nih.gov/pubmed/36679711
http://dx.doi.org/10.3390/s23020899

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9866121/
https://www.ncbi.nlm.nih.gov/pubmed/36679711
http://dx.doi.org/10.3390/s23020899

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