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

• Päätekijät: Shahab Haghayegh (Tekijä), Kun Hu (Tekijä), Katie Stone (Tekijä), Susan Redline (Tekijä), Eva Schernhammer (Tekijä)
• Aineistotyyppi: Kirja
• Julkaistu: JMIR Publications, 2023-02-01T00:00:00Z.
• Aiheet: article
• Linkit: 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...