This paper is in the following e-collection/theme issue:

Artificial Intelligence (1188) Machine Learning (1373) New Methods (902)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/40211, first published .
Automated Sleep Stages Classification Using Convolutional Neural Network From Raw and Time-Frequency Electroencephalogram Signals: Systematic Evaluation Study

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

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

Authors of this article:

Shahab Haghayegh1, 2 Author Orcid Image ;   Kun Hu1, 2 Author Orcid Image ;   Katie Stone3 Author Orcid Image ;   Susan Redline1, 2 Author Orcid Image ;   Eva Schernhammer1, 2, 4 Author Orcid Image
Article Authors Cited by (3) Tweetations (3) Metrics

Shahab Haghayegh   1, 2 , MSc, PhD ;   Kun Hu   1, 2 , PhD ;   Katie Stone   3 , PhD ;   Susan Redline   1, 2 , MPH, MD ;   Eva Schernhammer   1, 2, 4 , MPH, MD, DrPH

1 Harvard Medical School, Boston, MA, United States

2 Brigham and Women's Hospital, Boston, MA, United States

3 California Pacific Medical Center Research Institute, San Francisco, CA, United States

4 Medical University of Vienna, Vienna, Austria

Corresponding Author:

  • Shahab Haghayegh, MSc, PhD
  • Harvard Medical School
  • Channing Division of Network Medicine
  • 181 Longwood Avenue
  • Boston, MA, 02115
  • United States
  • Phone: 1 5129543436
  • Email: shaghayegh@bwh.harvard.edu