arxiveess.SP2026-07-14
Comparison of Dimension Reduction Methods for EEG Seizure Detection Using Autonomous AI-Driven Optimization
Annika Stiehl, Vishal Kagade, Nicolas Weeger, Nicole Ille, Stefan Geißelsöder, Christian Uhl
Automated epileptic seizure detection from multichannel electroencephalography (EEG) benefits from dimension reduction to obtain compact, discriminative representations. We compare four signal-space dimension reduction methods, Principal Component Analysis (PCA), Dynamical Compon…