mcmahonemmet/Topological-Recurrence-in-EEG-Dynamics: Reproducible analysis pipeline

Reproducible analysis pipeline accompanying the manuscript: Topological Recurrence in EEG Dynamics: Distinguishing REM Sleep from Wakefulness via Persistent Homology. This repository contains code implementing: • EEG preprocessing • time-delay embedding • persistent homology computation • recurrence metric (K0) • robustness analysis across embedding parameters • baseline EEG metric comparisons Dataset The analysis uses the Sleep-EDF Expanded dataset available from PhysioNet: https://physionet.org/content/sleep-edfx/ The dataset is not included in this repository due to licensing restrictions. All results can be reproduced by running: python scripts/run_full_pipeline.py