Title :
Modelling brain electrical activity by reaction diffusion cellular nonlinear networks (RD-CNN) in laplace domain
Author :
Osman, Ahmed ; Tetzlaff, Ronald
Author_Institution :
Fac. of Electr. Eng. & Comput. Sci., Tech. Univ. Dresden, Dresden, Germany
Abstract :
In this contribution a RD-CNN model given in the Laplace domain is proposed in an identification approach using brain electrical activity in epilepsy. This work aimed at developing accurate and time efficient modeling techniques allowing the analysis of the local activity theory in epilepsy.
Keywords :
Laplace equations; electroencephalography; medical disorders; medical signal processing; neurophysiology; reaction-diffusion systems; Laplace domain; brain electrical activity; epilepsy; local activity theory; reaction diffusion cellular nonlinear networks; time efficient modeling techniques; Brain modeling; Computational modeling; Epilepsy; Indexes; Optimization; EEG; Epilepsy; Laplace Domain; RD-CNN; Seizure;
Conference_Titel :
Cellular Nanoscale Networks and their Applications (CNNA), 2014 14th International Workshop on
Conference_Location :
Notre Dame, IN
DOI :
10.1109/CNNA.2014.6888661
