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

Foundations of AI (53) Artificial Intelligence (1773)

Published on in Vol 2 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/46769, first published .
Self-Supervised Electroencephalogram Representation Learning for Automatic Sleep Staging: Model Development and Evaluation Study

Self-Supervised Electroencephalogram Representation Learning for Automatic Sleep Staging: Model Development and Evaluation Study

Self-Supervised Electroencephalogram Representation Learning for Automatic Sleep Staging: Model Development and Evaluation Study

Authors of this article:

Chaoqi Yang1 Author Orcid Image ;   Cao Xiao2 Author Orcid Image ;   M Brandon Westover3 Author Orcid Image ;   Jimeng Sun1 Author Orcid Image
Article Authors Cited by (9) Tweetations (2) Metrics

Journals

  1. Wu H, Li S, Wu D. Motor Imagery Classification for Asynchronous EEG-Based Brain–Computer Interfaces. IEEE Transactions on Neural Systems and Rehabilitation Engineering 2024;32:527 View
  2. Wang R, Chen Z. Large-scale foundation models and generative AI for BigData neuroscience. Neuroscience Research 2025;215:3 View
  3. Wang I, Lee C, Kim H, Kim D. Negative-Sample-Free Contrastive Self-Supervised Learning for Electroencephalogram-Based Motor Imagery Classification. IEEE Access 2024;12:132714 View
  4. Wang P, Zheng H, Dai S, Wang Y, Gu X, Wu Y, Wang X. A Comprehensive Survey on Emerging Techniques and Technologies in Spatio-Temporal EEG Data Analysis. Chinese Journal of Information Fusion 2024;1(3):183 View
  5. Huang Y, Chen Y, Xu S, Wu D, Wu X. Self-Supervised Learning with Adaptive Frequency-Time Attention Transformer for Seizure Prediction and Classification. Brain Sciences 2025;15(4):382 View
  6. Weng W, Gu Y, Guo S, Ma Y, Yang Z, Liu Y, Chen Y. Self-supervised Learning for Electroencephalogram: A Systematic Survey. ACM Computing Surveys 2025 View

Conference Proceedings

  1. Farooq M, Khan M. 2023 International Conference on Business Analytics for Technology and Security (ICBATS). Real-Time Human Body Sensors Data Classification using Supervised Machine Learning View
  2. Tran X, Nguyen Q, Le L, Do T, Lin C. Proceedings of the 1st International Workshop on Brain-Computer Interfaces (BCI) for Multimedia Understanding. EEG-Based Contrastive Learning Models For Object Perception Using Multisensory Image-Audio Stimuli View
  3. Jeong S, Jeon J, Suk H. 2025 13th International Conference on Brain-Computer Interface (BCI). Energy-Guided Topology Mamba for EEG-Based BCI View