| Signal integration, transmission and interaction between brain functional regions will occur during normal perception activities over brain. Synchronization of nervous signals has been proposed as an important mechanism for spread nervous integration. In fact, from the experiment recording of biological signal, phrase synchronization of associated frequency bands can be detected. Synchronous brain activities are considered as being the indicator of the functional binding or integration of the brain. Accordingly, the researches about synchronization have been a hot topic in recent brain research. In this paper, based on the fundamental principles of synchronous activity, we explain primary ideas concerning synchronization. Beginning with conventional signal processing methods, we introduce ways to apply classic and modern signal processing approaches to EEG (electroencephalograph) synchronization study, which encompass time analysis, frequency analysis, wavelet analysis and Hilbert analysis and so on. Moreover, methods, coherence analysis and Hilbert analysis, have been tested in synchronization application. Furthermore, the experiment on visual-audio simultaneous stimulus was designed to acquire real data, and averaged ERP (event-related potential) data were utilized to get the synchronization index by means of Hilbert transform phase method. Finally, the conclusion was drawn: synchronous activity will occur between related brain areas automatically, when one is cognizing something. To research and discuss the P300 problem, EGI System 200, an EEG collecting system, was adopted, Odd-Ball model was applied, and whose parameters have been modified repeatedly and seriously, to get P300 of ERP. The characteristic wave, P300, has been further proved, and its data has been analyzed. |
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