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.
Macro and micro sleep architecture and cognitive performance in older adults,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.AI 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
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.