Deep Learning pipeline for motor-imagery classification.
pytorch brain-computer-interface motor-imagery-classification eegnet shallowconvnet deepconvnet fbcnet bci2021
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Updated
Jan 9, 2022 - Python
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shallowconvnet
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Rethinking CNN Architecture for Enhancing Decoding Performance of Motor Imagery-based EEG Signals
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Apr 22, 2025 - Python
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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May 15, 2026 - Jupyter Notebook
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