Title :
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
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;
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
DOI :
10.1109/ISSPIT.2008.4775727
