SEAT is a tool which provides features for EEG visualization and manipulation. It is built around MNE-Python, and also calls into a number of other open-source libraries and tools.
Currently the primary features of SEAT are:
- EDF data import.
- OpenGL-based EEG Visualization.
- Easy channel selection, scrolling, amplitude adjustment, and frequency filtering.
- Integrated IPython shell for easy scripting and extension.
- Time-Frequency decomposition and Spectral Maps.
Features in progress include:
- Arbitrary dataset sizes (currently limited by memory).
- Properly working spike detection (current algorithm is very poor).
- Full annotation support
SEAT was built for a Georgia Tech Senior Capstone project. The group members were Currell Berry, Johnny Farrow, Utkarsh Garg, Justin Jackson, and Michael Long.
Currell Berry and Justin Jackson were the primary developers.