Classification of Epileptic EEG Signals based on Principal Component Analysis and Localization of Epileptic Foci
LI Dongmei
ALCITIN Mamat
YANG Ridong
CHEN Ziyi
TIAN Xianghua
DONG Nan
ZHANG Yang
ZHOU Yi
Abstract：In order to better locate seizure focus, a PCA (principal component analysis,PCA)-based localization method was proposed.In order to extract the characteristics of EEG from different angles, PCA was used to reduce the dimensionality of high-dimensional eigenvectors, and then to classify them with random forest.Then, the medical reference range was used to find out the difference of lead change and the preliminary localization of seizure was focused on.
Keywords：EpilepsyEpileptic focusPrincipal component analysisRandom forestMedical reference range
Publication Date：2017-01-01
Online Publishing Date：2026-09-11(First online date of this platform, not the publication date of the document)
Pages：7( 218-223,228 )