Connectivity estimation of three parametric methods on simulated electroencephalogram signals

Abstract

The global framework of this paper is the connectivity estimation in multichannel electroencephalogram (EEG) recordings, modeled as multidimensional autoregressive (AR) processes. The coherence, directed transfer function and partial directed coherence functions are evaluated on two simulated EEG signals for their later application on real EEG recordings… (More)
DOI: 10.1109/IEMBS.2008.4649734

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