Title
Performance analysis of reduced-rank beamformers for estimating dipole source signals using EEG/MEG
Campus Units
Electrical and Computer Engineering
Document Type
Article
Publication Version
Submitted Manuscript
Publication Date
5-2006
Journal or Book Title
IEEE Transactions on Biomedical Engineering
Volume
53
Issue
5
First Page
840
Last Page
844
DOI
10.1109/TBME.2005.863942
Abstract
We study the performance of various beamformers for estimating a current dipole source at a known location using electroencephalography (EEG) and magnetoencephalography(MEG). We present our beamformers in the form of the generalized sidelobe canceler (GSC). Under this structure, the beamformer can be solved by finding a filter that achieves the minimum mean-squared error (MMSE) between the mainbeam response and filtered observed signal. We express the MMSE as a function of the filter's rank and use it as a criterion to evaluate the performance of the beamformers. We do not make any assumptions on the rank of the interference-plus-noise covariance matrix. Instead, we treat it as low-rank and derive a general expression for the MMSE. We present numerical examples to compare the MSE performance of beamformers commonly studied in the literature: principal components (PCs),cross-spectral metrics (CSMs), and eigencanceler (EIG) beamformers. Our results show that good estimates of the dipole source signals can be achieved using reduced-rank beamformers even for low signal-to-noise ratio (SNR) values
Rights
Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Copyright Owner
IEEE
Copyright Date
2006
Language
en
File Format
application/pdf
Recommended Citation
Gutiérrez, David; Nehorai, Arye; and Dogandžić, Aleksandar, "Performance analysis of reduced-rank beamformers for estimating dipole source signals using EEG/MEG" (2006). Electrical and Computer Engineering Publications. 130.
https://lib.dr.iastate.edu/ece_pubs/130
Comments
This is a manuscript of an article from IEEE Transactions on Biomedical Engineering 53 (2006): 840, doi:10.1109/TBME.2005.863942. Posted with permission.