Overview#
1
Engineered a robust preprocessing pipeline for raw EEG data resolving artifact contamination issues in BCI applications.
2
Designed an automated signal processing workflow utilizing MNE-Python for filtering and independent component analysis (ICA).
3
Developed custom spectral analysis modules to extract distinct frequency bands improving feature robustness for downstream machine learning models.
4
Visualized complex spatiotemporal patterns utilizing Matplotlib providing researchers with intuitive topographic maps.
Tech Stack#
Python
Core language
MNE-Python
Signal processing & ICA
SciPy
Spectral analysis
M
Matplotlib
Topographic mapping
S
Signal Processing
Artifact removal
B
BCI
Domain application