Open AccessA harmonic function method for EEG source reconstruction
Author(s) -
Hongguang Xi,
AUTHOR_ID,
Jianzhong Su
Publication year - 2022
Publication title -
electronic research archive
Language(s) - English
Resource type - Journals
ISSN - 2688-1594
DOI - 10.3934/era.2022026
Subject(s) - electroencephalography , harmonic , function (biology) , source function , computer science , noise (video) , stability (learning theory) , algorithm , harmonic function , artificial intelligence , mathematics , acoustics , mathematical analysis , physics , machine learning , neuroscience , psychology , evolutionary biology , astrophysics , image (mathematics) , biology
In this paper we study a harmonic function method for dipolar source reconstruction, and implemented the numerical simulations. We propose a new error estimate and provide a rigorous proof of the estimate. Then, we validate our method in computer-simulated data and study its numerical stability in different noise levels. It is shown that the harmonic function method can be used to quickly and accurately locate the active regions in EEG source reconstruction.