Source localization of event-related potentials incorporating spatial notch filters

IEEE Transactions on Bio-medical Engineering
Loukianos Spyrou, Saeid Sanei

Abstract

A novel algorithm for the localization of event-related potential (ERP) sources within the brain is proposed here. In this technique, spatial notch filters are developed to exploit the multichannel electroencephalogram data together with a model of ERP with variable parameters in order to accurately localize the corresponding ERP signal sources. The algorithm is robust in the presence of reasonably high noise. The performance of the proposed system has been compared to that of linear constrained minimum variance (LCMV) beamformer for different noise and correlation levels and its superiority has been demonstrated.

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Citations

Aug 4, 2011·International Journal of Methods in Psychiatric Research·Helen VossenRichel Lousberg
Jan 11, 2014·IEEE/ACM Transactions on Computational Biology and Bioinformatics·M K AhirwalG K Singh
May 27, 2010·IEEE Transactions on Bio-medical Engineering·Hamid Reza MohseniSaeid Sanei
Oct 7, 2010·IEEE Transactions on Bio-medical Engineering·Delaram JarchiBahador Makkiabadi
Aug 27, 2014·International Journal of Neural Systems·Saideh FerdowsiVahid Abolghasemi
Jul 10, 2016·Computer Methods and Programs in Biomedicine·M SabetiZ Azimifar
Sep 5, 2017·Bio-medical Materials and Engineering·Ali DarroudiGhazaleh Sarbisheie

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