Medical & biological engineering & computing

Unsupervised functional stage detection from EEG using topological data analysis.

Medical & biological engineering & computing October 7, 2026 Aleksandr Abramov, Ekaterina Mikhaylets, Vsevolod Chernyshev et al.

Electroencephalogram (EEG) segmentation is still largely performed manually by specialists. Recent studies have proposed the state-detecting algorithm (SDA) - an automated technique for detecting functional stages with minimal human intervention - which has proven effective using spectral features. This paper introduces an alternative feature engineering approach that explores the spatial...