EEG Motor Imagery – Deep ERP Classification
Processed ERP segments from the PhysioNet EEG dataset (109 subjects) for motor imagery classification. Evaluated RF, LSTM, CNN, EEGNet via cross-validation and full-dataset training. Reached 74.34% accuracy with EEGNet, outperforming traditional and sequence models.
Mohammadhossein Akbari Moafi
AI Researcher and Engineer passionate about building practical, efficient intelligent systems across vision, multimodal, and knowledge-driven applications.