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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| Materias: | |
| 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 |