DocumentCode :
3505316
Title :
Local multilayer analytic sensing for EEG source localization: Performance bounds and experimental results
Author :
Kandaswamy, D. ; Blu, T. ; Spinelli, L. ; Michel, C. ; Van De Ville, D.
fYear :
2011
fDate :
March 30 2011-April 2 2011
Firstpage :
479
Lastpage :
483
Abstract :
Analytic sensing is a new mathematical framework to estimate the parameters of a multi-dipole source model from boundary measurements. The method deploys two working principles. First, the sensing principle relates the boundary measurements to the volumetric interactions of the sources with the so-called “analytic sensor,” a test function that is concentrated around a singular point outside the domain of interest. Second, the annihilation principle allows retrieving the projection of the dipoles´ positions in a single shot by polynomial root finding. Here, we propose to apply analytic sensing in a local way; i.e., the poles are not surrounding the complete domain. By combining two local projections of the (nearby) dipolar sources, we are able to reconstruct the full 3-D information. We demonstrate the feasibility of the proposed approach for both synthetic and experimental data, together with the theoretical lower bounds of the localization error.
Keywords :
electroencephalography; medical signal processing; parameter estimation; physiological models; polynomials; signal reconstruction; 3-D information reconstruction; EEG source localization; annihilation principle; boundary measurements; local multilayer analytic sensing; localization error; multidipole source model; parameter estimation; polynomial root finding; Biological system modeling; Brain modeling; Conductivity; Electroencephalography; Indexes; Mathematical model; Sensors; EEG; analytic functions; annihilating filter; dipole models; finite rate of innovation; source localization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Imaging: From Nano to Macro, 2011 IEEE International Symposium on
Conference_Location :
Chicago, IL
ISSN :
1945-7928
Print_ISBN :
978-1-4244-4127-3
Electronic_ISBN :
1945-7928
Type :
conf
DOI :
10.1109/ISBI.2011.5872449
Filename :
5872449
Link To Document :
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