A compact 8‑channel EEG method for depression screening is evaluated strictly at the subject level, revealing that true accuracy is much lower than segment‑level reports.
machine-learning deep-learning eeg computational-psychiatry eeg-classification eegnet major-depressive-disorder biomedical-signal-processing connectivity-analysis spectral-features shallowconvnet resting-state-eeg depression-screening subject-wise-evaluation leakage-free-evaluation
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Updated
May 15, 2026 - Jupyter Notebook