NeurosciencebioRxivPreprint
Filter-banks and artificial intelligence in seizure detection using electroencephalograms
Marco Antonio Pinto-Orellana, Fábio Ribeiro Cerqueira
The paper develops a method for seizure detection using EEG signals with a filter bank and C4.5 decision trees, achieving 94% accuracy using 10 frequency-related features.
DOI 10.1101/105650