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

• Autors principals: Shahab Haghayegh (Autor), Kun Hu (Autor), Katie Stone (Autor), Susan Redline (Autor), Eva Schernhammer (Autor)
• Format: Llibre
• Publicat: JMIR Publications, 2023-02-01T00:00:00Z.
• Matèries: article
• Accés en línia: Connect to this object online.

BackgroundMost 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. ObjectiveWe proposed and tested a convolutional neural network called SleepIn...