Test deep learning models for 7–32 Hz & 7–40 Hz bandpass filtering to enhance accuracy.
Extend ICA: remove components, reconstruct signals, research missing steps, and test impact.
Improve EEG channel selection by implementing better algorithms and validating relevance.
Address low PSNR; analyze SNR before/after preprocessing and explore additional metrics.
Debug pretrained model results; refine code and ensure accurate performance evaluation.
Design a hybrid model combining pretrained and custom components for EEG analysis.