Localization of abnormal EEG sources incorporating constrained BSS

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Abstract

An effective method has been developed to solve the localization problem of the brain sources. A priori knowledge about normal source locations has been effectively exploited in estimating the rotation matrix, which inherently permutes the estimated separating matrix in the blind source separation (BSS) algorithm. An important application of this method is to localize the Focal epilepsy sources, which causes changes in attention, movement and behavior. Here, an effective and simple technique for both separation and localization of the EEG sources has been developed incorporating BSS. The criterion is subject to having some of the sources known. The constraint is then incorporated into the separation objective function using Lagrange multipliers whereby changing it to an unconstrained problem. © Springer-Verlag Berlin Heidelberg 2005.

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APA

Latif, M. A., Sanei, S., & Chambers, J. A. (2005). Localization of abnormal EEG sources incorporating constrained BSS. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3697 LNCS, pp. 703–708). https://doi.org/10.1007/11550907_112

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