Loading...

Tracking dynamical transition of epileptic EEG using particle filter

Mamaghanian, H ; Sharif University of Technology | 2008

613 Viewed
  1. Type of Document: Article
  2. DOI: 10.1109/ISSPIT.2008.4775727
  3. Publisher: 2008
  4. Abstract:
  5. 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. ©2008 IEEE
  6. Keywords:
  7. Coupled equation ; Dynamical model ; Dynamical properties ; Dynamical transition ; EEG Dynamical Model ; Epileptic Seizure Prediction ; Epileptic seizures ; Liley Model ; Numerical solution ; Online monitoring ; Particle filter ; SIS Particle Filter ; State space representation ; State transitions ; Two parameter ; Air filters ; Nonlinear equations ; Nonlinear filtering ; Signal processing ; Surveying instruments ; Switching circuits ; Electroencephalography
  8. Source: 8th IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2008, Sarajevo, 16 December 2008 through 19 December 2008 ; February , 2008 , Pages 270-274 ; 9781424435555 (ISBN)
  9. URL: https://ieeexplore.ieee.org/document/4775727