Name
Abstract | ||
|---|---|---|
According to phase space reconstruct technique from one-dimensional time series and the quantitative criterion and rule of system chaos, analyses and computations are conducted on EEG (electroencephalogram) dynamics model. Based on the comparative studies of the phase graph, the power spectra, the computation of the correlation dimension and the Lyapunov exponent to EEG signals from the model, the following conclusions are shown: (i) Chaotic patterns of the dynamics model may emerge out of Pomeau-Manneville route, and relevant to double-periodic bifurcation, Hopf bifurcation, and reverse bifurcation; (ii) To further support the view that chaos exist in EEG signals. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1016/j.amc.2006.04.025 | Applied Mathematics and Computation |
Keywords | DocType | Volume |
phase graph,Correlation dimension,Hopf bifurcation,Power spectra,Pomeau-Manneville route,chaotic pattern,Bifurcation,EEG dynamics model,dynamics model,comparative study,reverse bifurcation,Phase graph,chaos phenomenon,Chaos,Lyapunov exponent,EEG signal,system chaos | Journal | 183 |
Issue | ISSN | Citations |
1 | Applied Mathematics and Computation | 8 |
PageRank | References | Authors |
0.61 | 3 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xing-yuan Wang | 1 | 989 | 62.49 |
| Chao Luo | 2 | 58 | 17.22 |