DocumentCode
3692992
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
fYear
2015
Firstpage
1
Lastpage
5
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"
Publisher
ieee
Conference_Titel
Signal Processing, Images and Computer Vision (STSIVA), 2015 20th Symposium on
Type
conf
DOI
10.1109/STSIVA.2015.7330448
Filename
7330448
Link To Document