TempoSleep is a context-aware framework for automatic single-channel EEG sleep staging. It combines multi-scale temporal feature extraction with hierarchical temporal modeling to capture local and long-range dependencies, with particular emphasis on N1-stage recognition.
deep-learning eeg eeg-signals time-series-classification eeg-signals-processing sleep-staging sequence-modeling biomedical-signal-processing polysomnography sleep-stage-classification sleep-edf automatic-sleep-staging
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Updated
Aug 15, 2026 - Python