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Support for (fooof) aperiodic frequency analysis after recordings
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Context: fitting oscillations over 1/f is a way to get what the dominant brain wave is taking into account the general "noise"/"activity" in the brain - https://fooof-tools.github.io/fooof/
- [x] Implement fooof library methods on recorded EEG data
- [ ] Upload methods to python api server and respond with metadata
- [ ] Display results on /analysis page
Jupyter notebook that reads eeg data in mne epochs and passes to fooof module https://github.com/NEUROFUSIONInc/NeuroFusion-Explorer/blob/main/explorer_notebooks/baseline_recording_summary.ipynb