CogPSGFormer, a multi-scale CNN-transformer, classifies low vs high PCET executive function from EEG, ECG, and derived features with 80.3% accuracy on 817 STAGES participants under 10-fold cross-validation.
Rapid eye movement sleep, sleep continuity, and slow wave sleep as predictors of cognition, mood, and subjective sleep quality in healthy men and women, aged 20–84 years,
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Sleep Brain and Cardiac Activity Predict Cognitive Flexibility and Conceptual Reasoning Using Deep Learning
CogPSGFormer, a multi-scale CNN-transformer, classifies low vs high PCET executive function from EEG, ECG, and derived features with 80.3% accuracy on 817 STAGES participants under 10-fold cross-validation.