BioengineeringIEEE AccessPeer-reviewed
SleepSatelightFTC: A Lightweight and Interpretable Deep Learning Model for Single-Channel EEG-Based Sleep Stage Classification
The paper introduces SleepSatelightFTC, a lightweight deep learning model for EEG-based sleep stage classification that achieves high accuracy with fewer parameters and provides interpretability through self-attention.
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