title: [Research on analytical methods of phase synchronization in EEG].
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.
authors.affiliation: Department of Control Engineering, Chengdu University of Information Technology, Chengdu 610225, China. bettyzhao@cuit.edu.cn
authors.forename: Lina
authors.initials: L
authors.lastname: Zhao
authors.forename: Baoqiang
authors.initials: B
authors.lastname: Wang
authors.forename: Dezhong
authors.initials: D
authors.lastname: Yao
mesh_terms: D000465:Algorithms; D000704:Analysis of Variance; D000818:Animals; D001921:Brain / Q000502:physiology*; D003344:Cortical Synchronization; D004569:Electroencephalography / Q000379:methods*; D006801:Humans; D051381:Rats; D012815:Signal Processing, Computer-Assisted