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Automated Sleep Stages Classification Using Convolutional Neural Network From Raw and Time-Frequency Electroencephalogram Signals: Systematic Evaluation Study

BACKGROUND: Most existing automated sleep staging methods rely on multimodal data, and scoring a specific epoch requires not only the current epoch but also a sequence of consecutive epochs that precede and follow the epoch. OBJECTIVE: We proposed and tested a convolutional neural network called Sle...

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Detalles Bibliográficos
Autores principales:	Haghayegh, Shahab, Hu, Kun, Stone, Katie, Redline, Susan, Schernhammer, Eva
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	JMIR Publications 2023
Materias:	Original Paper
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9960035/ https://www.ncbi.nlm.nih.gov/pubmed/36763454 http://dx.doi.org/10.2196/40211

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