DocumentCode :
1607246
Title :
Application of linearly-constrained prewhitening beamformer to reconstruction of highly correlated EEG signal sources
Author :
Sasayama, Teruyoshi ; Hamada, Shoji ; Kobayashi, Tetsuo
Author_Institution :
Dept. of Electr. Eng., Kyoto Univ., Kyoto, Japan
fYear :
2011
Firstpage :
593
Lastpage :
598
Abstract :
In this study, we compared the performances of minimum variance beamformer (MVBF), linearly-constrained (LC)-MVBF, prewhitening beamformer (PWBF), and LC-PWBF with regard to the estimation of signal location in the brain neocortex. Equivalent current dipoles were located in the primary motor cortex in performed numerical simulations by considering applications in brain-computer interfaces based on modulation of μ and β rhythms. It was confirmed that when the signals were highly correlated, the location bias of LC-PWBF was smaller than that of MVBF, LC-MVBF, and PWBF. Obtained results suggest that LC-PWBF is useful for estimating the location of signal sources that are highly correlated and have low signal-to-noise ratio.
Keywords :
array signal processing; brain-computer interfaces; electroencephalography; medical signal processing; numerical analysis; LC MVBF; LC PWBF; beta brain rhythm; brain neocortex; brain-computer interfaces; equivalent current dipoles; highly correlated EEG signal source reconstruction; linearly constrained MVBF; linearly constrained prewhitening beamformer; minimum variance beamformer; mu brain rhythm; numerical simulations; primary motor cortex; signal location estimation; Heating; Rhythm; Signal to noise ratio; Adaptive beamformer; linearly-constrained minimum variance filter; prewhitening;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Complex Medical Engineering (CME), 2011 IEEE/ICME International Conference on
Conference_Location :
Harbin Heilongjiang
Print_ISBN :
978-1-4244-9323-4
Type :
conf
DOI :
10.1109/ICCME.2011.5876810
Filename :
5876810
Link To Document :
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