Multi-channel Fourier Packet Transform of EEG: Optimal Representation and Time-Varying Coherence
نویسندگان
چکیده
AbsrroctMulti-channel recording of electroencephalogram (EEG) provides a measure of spatial-temporal pattern of cognitive processes. When oscillatory activities are going to he studied, the limcdomain EEG signal can be analyzed Yia Fourier or wavelet transform. However the loss of temporal information after Fourier transform and the nnavailahility of phase information in wavelet transform limit their applicability in EEG analysis. In this paper, multi-channel Fourier packet transform is introduced. The algorithm resembles the wavelet packet transform by its binary tree search for an optimal selection of orthogonal basis, but extends the application lo the multi-channel scenario. I t aims to provide a sparse signal representation to localize features in the spatial-spectral-temporal domain. Since the decomposed stoms are spatially coherent components, analysis of time-uaQing synchrony across scalp locations is then possible. Kqwordr EEG, ERP, Fourier Packet, Coherence
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