Noise covariance incorporated MEG-MUSIC algorithm: a method for multiple-dipole estimation tolerant of the influence of background brain activity
- 1 January 1997
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Biomedical Engineering
- Vol. 44 (9) , 839-847
- https://doi.org/10.1109/10.623053
Abstract
This paper proposes a method of localizing multiple current dipoles from spatio-temporal biomagnetic data. The method is based on the multiple signal classification (MUSIC) algorithm and is tolerant of the influence of background brain activity. In this method, the noise covariance matrix is estimated using a portion of the data that contains noise, but does not contain any signal information. Then, a modified noise subspace projector is formed using the generalized eigenvectors of the noise and measured-data covariance matrices. The MUSIC localizer is calculated using this noise subspace projector and the noise covariance matrix. The results from a computer simulation have verified the effectiveness of the method. The method was then applied to source estimation for auditory-evoked fields elicited by syllable speech sounds. The results strongly suggest the method's effectiveness in removing the influence of background activity.Keywords
This publication has 13 references indexed in Scilit:
- Suppression of background brain activity influence in localizing epileptic spike sources from biomagnetic measurementsBrain Topography, 1996
- Reduction of brain noise influence in evoked neuromagnetic source localization using noise spatial correlationPhysics in Medicine & Biology, 1994
- Magnetoencephalography—theory, instrumentation, and applications to noninvasive studies of the working human brainReviews of Modern Physics, 1993
- 16 Subspace methods for directions-of-arrival estimationPublished by Elsevier ,1993
- Multiple dipole modeling and localization from spatio-temporal MEG dataIEEE Transactions on Biomedical Engineering, 1992
- MUSIC, maximum likelihood, and Cramer-Rao bound: further results and comparisonsIEEE Transactions on Acoustics, Speech, and Signal Processing, 1990
- Basic mathematical and electromagnetic concepts of the biomagnetic inverse problemPhysics in Medicine & Biology, 1987
- Multiple emitter location and signal parameter estimationIEEE Transactions on Antennas and Propagation, 1986
- A new interpretation of the generators of BAEP waves I–V: Results of a spatio-temporal dipole modelElectroencephalography and Clinical Neurophysiology/Evoked Potentials Section, 1985
- Two bilateral sources of the late AEP as identified by a spatio-temporal dipole modelElectroencephalography and Clinical Neurophysiology/Evoked Potentials Section, 1985