
WaveSleepNet is an interpretable deep learning model that classifies sleep stages by identifying characteristic waveform prototypes in the input EEG signals, mimicking the cognitive process of human sleep experts.


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wavesleepnet-an-interpretable-deep-learning-model-for-accurate-and-explainable-sleep-stage-classification


WaveSleepNet: An Interpretable Deep Learning Model for Accurate and Explainable Sleep Stage Classification
