SynthesisMedical & biological engineering & computing2026
Deep learning for EEG-based sleep stage classification: a review.
Synthesis in Medical & biological engineering & computing, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Deep learning architectures are now widely applied in sleep electroencephalogram (EEG) analysis. These developments have significantly advanced EEG-based sleep stage classification. This progress offers considerable benefits for sleep research and the diagnosis of neurological disorders. This work provides a systematic review of deep learning models for sleep staging. It analyzes the evolution of their architectures and input representation strategies. Additionally, it summarizes the current usage of preprocessing strategies, public datasets, and evaluation metrics. The cross-dataset accuracy comparison and stage-wise F
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