Abstract
The brain has the characteristic of high non linearity. Analyzing the synchronous relation between electroencephalograms of each channel can achieve important information integrated, transmitted and processed in different areas of the brain. The paper uses phase-space reconstruction and nonlinear interdependence to explore the characteristic of general synchronization between two-line channel electroencephalograms. Synchronous analysis method based on nonlinear independence is applied to analyze epilepsy signals. From the analysis, we can see that the brain strengthens synchronously when epilepsy attacks, which not only can make us determine the areas of the brain which play a leading role in epilepsy, but also intuitively displays propagation characteristic of epilepsy.
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Yifan, B. (2013). Synchronous Analysis of Electroencephalogram Based on Nonlinear Independence. In: Yang, Y., Ma, M., Liu, B. (eds) Information Computing and Applications. ICICA 2013. Communications in Computer and Information Science, vol 392. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-53703-5_12
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DOI: https://doi.org/10.1007/978-3-642-53703-5_12
Publisher Name: Springer, Berlin, Heidelberg
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