Spatio-temporal matching pursuit (SToMP) for multiple source estimation of evoked potentials

Research output: Contribution to conferencePaperpeer-review

4 Scopus citations

Abstract

Matching Pursuit with time-frequency dictionaries is generalized into Spatio-Temporal Matching Pursuit (SToMP) and adapted for multiple source localization. Based on the results, SToMP exhibits better results than other spatio-temporal multiple source location methods, that are based on eigenvector decomposition. Real data results of Visual Evoked Potentials source localization, with MRI data constrains and visualization, demonstrate physiological feasible solution of the bioelectric inverse problem. The SToMP decomposition is robust, and can also be used for spatio-temporal inverse filtering.

Original languageEnglish
Pages113-116
Number of pages4
StatePublished - 1 Dec 1996
EventProceedings of the 1996 19th Convention of Electrical and Electronics Engineers in Israel - Jerusalem, Isr
Duration: 5 Nov 19966 Nov 1996

Conference

ConferenceProceedings of the 1996 19th Convention of Electrical and Electronics Engineers in Israel
CityJerusalem, Isr
Period5/11/966/11/96

ASJC Scopus subject areas

  • Engineering (all)

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