Analysis of epileptic magnetoencephalogram dynamics through clustering algorithms

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.

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