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 :
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