Literature DB >> 18610600

[Research on analytical methods of phase synchronization in EEG].

Lina Zhao1, Baoqiang Wang, Dezhong Yao.   

Abstract

Synchronous brain activities are regarded as the indicator of the functional integration of the brain. Based on the physiological mechanism of synchronous activity, the detection process and research on quantification methods concerning synchronization are explained. Conventional and modern signal processing approaches, such as time analysis, frequency analysis, Hilbert transform (HT), especially wavelet transform (WT), are applied to EEG (electroencephalograph) synchronization study. Simulation data and real data are utilized to test the methods mentioned above, which prove the usefulness and validity of methods. According to the final results, Hilbert analysis is better for its authenticity.

Mesh:

Year:  2008        PMID: 18610600

Source DB:  PubMed          Journal:  Sheng Wu Yi Xue Gong Cheng Xue Za Zhi        ISSN: 1001-5515


  1 in total

1.  Synchronization Stability Model of Complex Brain Networks: An EEG Study.

Authors:  Guimei Yin; Haifang Li; Shuping Tan; Rong Yao; Xiaohong Cui; Lun Zhao
Journal:  Front Psychiatry       Date:  2020-12-04       Impact factor: 4.157

  1 in total

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