A small set of scripts to process EEG data directly from a Muse headband into useful brain signals. Please note that these scripts are incomplete -- they require some tinkering to work with different signals. Please reach out to me at ealfaro@mit.edu if you have any questions! This code was created by Eric Alfaro as part of a Fall UROP 2024 with Dr. Rich Fletcher.

• convert.py: Contains several helper methods to convert Muse data from a .json format (as given by the GDMuse recording program) into a .npy format. Also oversamples signals.
• filter.py: Filters signals from convert.py to denoise and detrend.
• bandpower.py: Contains several test procedures for analyzing filtered EEG data, such as plotting the PSD or calculating the bandpower signals.