Weighted minimum-norm source estimation of MEG/EEG with MUSIC pre-scanning

Author

Iwaki, Sunao ; Ueno, Shoogo

Author_Institution

Dept. of Biomed. Eng., Tokyo Univ., Japan

Volume

3

fYear

1997

fDate

30 Oct-2 Nov 1997

Firstpage

1170

Abstract

Proposes a method to reconstruct current distributions in the human brain from MEG/EEG measurements. This method is based on the weighted minimum-norm estimation (WMNE) technique with the weighting factors calculated from the results of simplified MUSIC source scanning (MUSIC-WMNE). In this method, in addition to the depth normalisation technique, weighting factors of the WMNE are determined by the cost values previously calculated based on the MUSIC scan which contains the temporal information of MEG/EEG data. The authors performed a computer simulation of this method and compared it to the conventional WMNE method. The results show that this method is effective for the reconstruction of the current distributions from noisy measured data

Keywords

electroencephalography; magnetoencephalography; medical signal processing; signal reconstruction; EEG; MEG; MUSIC pre-scanning; computer simulation; cost values; depth normalisation technique; electrodiagnostics; human brain current distributions reconstruction; noisy measured data; temporal information; weighted minimum-norm source estimation; Additive noise; Biomedical measurements; Costs; Current distribution; Current measurement; Electroencephalography; Humans; Matrix decomposition; Multiple signal classification; Signal to noise ratio;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 1997. Proceedings of the 19th Annual International Conference of the IEEE

Conference_Location

Chicago, IL

ISSN

1094-687X

Print_ISBN

0-7803-4262-3

Type

conf

DOI

10.1109/IEMBS.1997.756566

Filename

756566