Title :
Analysis of epileptic magnetoencephalogram dynamics through clustering algorithms
Author :
Adamopoulos, A.V. ; Boutsinas, B. ; Vrahatis, M.N. ; Anninos, P.A.
Author_Institution :
Dept. of Medicine, Democritus Univ. of Thrace, Greece
Abstract :
We propose a novel method for the analysis of the magnetoencephalogram (MEG) of epileptic patients. The proposed method was based on the reconstruction of the phase space from the one-dimension signals to higher-dimension phase space. An especially developed clustering algorithm was applied on the reconstructed data in order to investigate the distribution of epileptic MEG dynamics in higher order reconstructed phase spaces.
Keywords :
magnetoencephalography; medical signal processing; patient monitoring; pattern clustering; signal reconstruction; clustering algorithms; epileptic MEG dynamics; epileptic magnetoencephalogram dynamics; epileptic patients; one-dimension signals; phase space reconstruction; Algorithm design and analysis; Clustering algorithms; Epilepsy; Heuristic algorithms; Machine learning algorithms; Magnetic analysis; Nonlinear dynamical systems; Partitioning algorithms; SQUIDs; Superconducting magnets;
Conference_Titel :
Digital Signal Processing, 2002. DSP 2002. 2002 14th International Conference on
Print_ISBN :
0-7803-7503-3
DOI :
10.1109/ICDSP.2002.1028163
