Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICDSP.2007.4288536
Title: Analysis of schizophrenic EEG synchrony using empirical mode decomposition
Authors: Ziqiang, Z.
Puthusserypady, S. 
Keywords: Electroencephalogram (EEG)
Empirical mode decomposition
Phase synchronization
Schizophrenia
Issue Date: 2007
Source: Ziqiang, Z.,Puthusserypady, S. (2007). Analysis of schizophrenic EEG synchrony using empirical mode decomposition. 2007 15th International Conference on Digital Signal Processing, DSP 2007 : 131-134. ScholarBank@NUS Repository. https://doi.org/10.1109/ICDSP.2007.4288536
Abstract: Phase synchronization of neuron oscillations is believed to be abnormal in schizophrenic patients, and has attracted the interests of many researchers. For multicomponent signals such as electroencephalogram (EEG), since the trajectory rotates around multi-centers in the complex plane, phase is not meaningful. Usually Fourier based (linear) time-frequency decomposition (e.g. wavelet transform) has been used to analyze the degree of phase synchronization in each time-frequency bin. Considering the nonlinear nature of neuron oscillations, in this paper, we analyze phase synchronization from a different view point by decomposing the signal into several intrinsic modes using empirical mode decomposition (EMD), each of which can be nonlinear and non-stationary. The results obtained from simulated signals and real EEG signals indicate that EMD might be more accurate to the real dynamics of the oscillation process than time-frequency decomposition. © 2007 IEEE.
Source Title: 2007 15th International Conference on Digital Signal Processing, DSP 2007
URI: http://scholarbank.nus.edu.sg/handle/10635/69404
ISBN: 1424408822
DOI: 10.1109/ICDSP.2007.4288536
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

8
checked on Dec 11, 2017

Page view(s)

21
checked on Dec 16, 2017

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.