title: Parameter pattern discovery in nonlinear dynamic model for EEGs analysis.
abstract: We propose a nonlinear dynamic model for an invasive electroencephalogram analysis that learns the optimal parameters of the neural population model via the Levenberg-Marquardt algorithm. We introduce the crucial windows where the estimated parameters present patterns before seizure onset. The optimal parameters minimizes the error between the observed signal and the generated signal by the model. The proposed approach effectively discriminates between healthy signals and epileptic seizure signals. We evaluate the proposed method using an electroencephalogram dataset with normal and epileptic seizure sequences. The empirical results show that the patterns of parameters as a seizure approach and the method is efficient in analyzing nonlinear epilepsy electroencephalogram data. The accuracy of estimating the optimal parameters is improved by using the nonlinear dynamic model.
authors: 1 Department of Brain and Cognitive Engineering, Korea University, Seoul 136-713, South Korea.
authors: Sun-Hee
authors: SH
authors: Kim
authors: 2 School of Computer Science, Carnegie Mellon University, Pittsburgh PA 15213, USA.
authors: Christos
authors: C
authors: Faloutsos
authors: 3 Department of Computer Science, Chonnam National University Gwangju 500-757, South Korea.
authors: Hyung-Jeong
authors: HJ
authors: Yang
authors: 1 Department of Brain and Cognitive Engineering, Korea University, Seoul 136-713, South Korea.
authors: Seong-Whan
authors: SW
authors: Lee
mesh_terms: D000465:Algorithms; D001921:Brain / Q000000981:diagnostic imaging* / Q000503:physiopathology / Q000601:surgery; D066264:Datasets as Topic; D004567:Electrodes, Implanted; D004569:Electroencephalography / Q000379:methods*; D004827:Epilepsy / Q000000981:diagnostic imaging* / Q000503:physiopathology / Q000601:surgery; D006801:Humans; D017711:Nonlinear Dynamics; D010363:Pattern Recognition, Automated / Q000379:methods*; D012640:Seizures / Q000000981:diagnostic imaging / Q000503:physiopathology / Q000601:surgery; D012815:Signal Processing, Computer-Assisted
keywords: Epileptic seizure; electroencephalogram; neurons population; nonlinear dynamic model; parameter changes