Deep-Learning-Based Classification of Cyclic-Alternating-Pattern Sleep Phases

Determining the cyclic-alternating-pattern (CAP) phases in sleep using electroencephalography (EEG) signals is crucial for assessing sleep quality. However, most current methods for CAP classification primarily rely on classical machine learning techniques, with limited implementation of deep-learni...

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Detalles Bibliográficos
Autores principales: Kahana, Yoav, Aberdam, Aviad, Amar, Alon, Cohen, Israel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10606713/
https://www.ncbi.nlm.nih.gov/pubmed/37895516
http://dx.doi.org/10.3390/e25101395

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10606713/
https://www.ncbi.nlm.nih.gov/pubmed/37895516
http://dx.doi.org/10.3390/e25101395

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