DocumentCode :
2112552
Title :
A reconstruction algorithm for point-wise sources in a two-dimension electroencephalography model
Author :
Hongyan Wang ; Jiayin Sun ; Yuan Li ; Zejing Xing ; Lixin Feng
Author_Institution :
Sch. of Math. Sci., Heilongjiang Univ., Harbin, China
fYear :
2013
fDate :
23-25 July 2013
Firstpage :
695
Lastpage :
699
Abstract :
This paper proposes a computing algorithm for reconstructing point-wise sources in an inverse electroencephalography problem, where only a two- dimension model for boundary problem of Poisson equation is considered. Based on the variational form of this boundary value problem, we select a special form of complex polynomial as the test function, and then derive an algebraic relationship among the source parameters. Then the point-wise sources can be reconstructed by using an algebraic direct method. We present that this algebraic direct algorithm is suitable for both monopole sources and dipole sources. Finally, a few numerical examples are demonstrated to verify the efficiency of this algorithm.
Keywords :
Poisson equation; biomedical measurement; boundary-value problems; electroencephalography; inverse problems; medical computing; polynomials; 2D electroencephalography model; Poisson equation; algebraic direct method; algebraic relationship; boundary value problem; complex polynomial; computing algorithm; dipole sources; inverse electroencephalography problem; monopole sources; point-wise sources; reconstruction algorithm; source parameters; Brain modeling; Educational institutions; Electroencephalography; Inverse problems; Mathematical model; Polynomials;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems and Knowledge Discovery (FSKD), 2013 10th International Conference on
Conference_Location :
Shenyang
Type :
conf
DOI :
10.1109/FSKD.2013.6816285
Filename :
6816285
Link To Document :
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