Title :
On the effect of inverse problem weighted solutions for epileptic sources localization
Author :
Melissa E. Acosta-Muñoz;Hugo A. Paredes-Argoty;E. Javier Revelo-Fuelagán;Diego H. Peluffo-Ordóñez
Author_Institution :
Faculty of Engineering, Universidad de Nariñ
Abstract :
Within the context of epileptic sources localization from electroencephalographic signals, this work presents an exploratory study aimed at studying the effect of channel weighting on the estimation of the inverse problem solution. In this study, we consider two weighting approaches followed from a relevance feature analysis based on variance and energy criteria. Such approaches are compared by measuring the difference between the estimated source activity and the true power of the simulated sources in terms of the Earth mover´s distance. Experimental results show that the incorporation of proper weighting factors into a LORETA-driven solution, localization may be improved. As well, the physiological phenomenon of the brain activity is more precisely tracked.
Keywords :
"Brain modeling","Electroencephalography","Inverse problems","Mathematical model","Covariance matrices","Epilepsy"
Conference_Titel :
Signal Processing, Images and Computer Vision (STSIVA), 2015 20th Symposium on
DOI :
10.1109/STSIVA.2015.7330448