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

Internet

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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