Title :
Classification of Epileptic EEG Data Using Multidimensional Scaling
Author :
Direito, Bruno ; Dourado, António ; Vieira, Marco ; Sales, Francisco
Author_Institution :
Dept. of Inf. Eng., Centro de Inf. e Sist. da Univ. de Coimbra, Coimbra
Abstract :
A methodology is proposed and developed for epileptic seizures prediction through multifeatures extracted from EEG, and submitted to space reduction. Concepts from energy, frequency-time, and nonlinear dynamics are used to obtain the set of 14 features. Multidimensional scaling is used for space reduction from high dimensional to three dimensional space, in the VISRED platform. Results show the potentiality of this methodology. A computational system with an algorithms base and a data base, under development, is briefly sketched, in order to allow to face the high variability of biological systems.
Keywords :
bioelectric phenomena; computational complexity; electroencephalography; feature extraction; medical signal processing; neurophysiology; signal classification; VISRED platform; algorithm base system; biological systems; data base system; epileptic EEG data classification; epileptic seizures prediction; frequency-time analysis; multidimensional scaling; multifeature extraction; nonlinear dynamics; space reduction; three dimensional space; Data mining; Data visualization; Electroencephalography; Epilepsy; Feature extraction; Informatics; Multidimensional systems; Nonlinear systems; Spatial databases; Wavelet transforms;
Conference_Titel :
Bioinformatics and Biomedical Engineering, 2008. ICBBE 2008. The 2nd International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-1747-6
Electronic_ISBN :
978-1-4244-1748-3
DOI :
10.1109/ICBBE.2008.134
