Localization of abnormal EEG sources incorporating constrained BSS

  • Authors:

  • Mohamed Amin Latif;Saeid Sanei;Jonathon A. Chambers

  • Affiliations:

  • Center for Digital Signal Processing, School of Engineering, Cardiff University, Cardiff, UK;Center for Digital Signal Processing, School of Engineering, Cardiff University, Cardiff, UK;Center for Digital Signal Processing, School of Engineering, Cardiff University, Cardiff, UK

  • Venue:
  • ICANN'05 Proceedings of the 15th international conference on Artificial neural networks: formal models and their applications - Volume Part II
  • Year:
  • 2005

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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.