On the effect of inverse problem weighted solutions for epileptic sources localization. Acosta-Munoz, M., E., Paredes-Argoty, H., A., Revelo-Fuelagan, E., J., & Peluffo-Ordonez, D., H. In 2015 20th Symposium on Signal Processing, Images and Computer Vision (STSIVA), pages 1-5, 9, 2015. IEEE.
On the effect of inverse problem weighted solutions for epileptic sources localization [link]Website  doi  abstract   bibtex   
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.
@inproceedings{
 title = {On the effect of inverse problem weighted solutions for epileptic sources localization},
 type = {inproceedings},
 year = {2015},
 pages = {1-5},
 websites = {https://ieeexplore.ieee.org/document/7330448},
 month = {9},
 publisher = {IEEE},
 id = {c6b2ddfa-fdcd-3dd7-ab14-b85046462b58},
 created = {2021-02-06T20:38:32.345Z},
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 profile_id = {967c9de0-8d3c-3991-bbe2-1cf187e121df},
 last_modified = {2021-02-06T20:51:51.792Z},
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 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.},
 bibtype = {inproceedings},
 author = {Acosta-Munoz, Melissa E. and Paredes-Argoty, Hugo A. and Revelo-Fuelagan, E. Javier and Peluffo-Ordonez, Diego H.},
 doi = {10.1109/STSIVA.2015.7330448},
 booktitle = {2015 20th Symposium on Signal Processing, Images and Computer Vision (STSIVA)}
}

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