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Research on analytical methods of phase synchronization in EEG / 生物医学工程学杂志
Journal of Biomedical Engineering ; (6): 250-254, 2008.
Article in Chinese | WPRIM | ID: wpr-291255
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.
Subject(s)
Full text: Available Index: WPRIM (Western Pacific) Main subject: Physiology / Algorithms / Signal Processing, Computer-Assisted / Brain / Analysis of Variance / Cortical Synchronization / Electroencephalography / Methods Limits: Animals / Humans Language: Chinese Journal: Journal of Biomedical Engineering Year: 2008 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Main subject: Physiology / Algorithms / Signal Processing, Computer-Assisted / Brain / Analysis of Variance / Cortical Synchronization / Electroencephalography / Methods Limits: Animals / Humans Language: Chinese Journal: Journal of Biomedical Engineering Year: 2008 Type: Article