Tracking Dynamical Transition of Epileptic EEG Using Particle Filter

Author

Mamaghanian, Hossein ; Shamsollahi, Mohammad B. ; Hajipour, Sepideh

Author_Institution

Biomed. Signal & Image Process. Lab., Sharif Univ. of Technol., Tehran

fYear

2008

fDate

16-19 Dec. 2008

Firstpage

270

Lastpage

274

Abstract

In this work we used the Liley EEG model as a dynamical model of EEG. Two parameters of the model which are candidates for change during an epileptic seizure are defined as new states in state space representation of this dynamical model. Then SIS particle filter is applied for estimating the defined states over time using the recorded epileptic EEG as the observation of the system. A method for fast numerical solution of the nonlinear coupled equation of the model is proposed. This model is used for tracking the dynamical properties of brain during epileptic seizure. Tracking the changes of these new defined states of the model have good information about the state transition of the model (interictal/preictal/ictal) and can be used in online monitoring algorithms for predicting seizures in epilepsy.

Keywords

electroencephalography; state-space methods; Liley EEG model; SIS particle filter; brain; epileptic EEG dynamical transition tracking; epileptic seizure; nonlinear coupled equation; online monitoring algorithms; state space representation; Brain modeling; Couplings; Electroencephalography; Epilepsy; Nonlinear equations; Particle filters; Particle tracking; Predictive models; State estimation; State-space methods; EEG Dynamical Model; Epileptic Seizure Prediction; Liley Model; SIS Particle Filter;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing and Information Technology, 2008. ISSPIT 2008. IEEE International Symposium on

Conference_Location

Sarajevo

Print_ISBN

978-1-4244-3554-8

Electronic_ISBN

978-1-4244-3555-5

Type

conf

DOI

10.1109/ISSPIT.2008.4775727

Filename

4775727