NDLI: A new beamforming-based MEG dipole source localization method

Content Provider	IEEE Xplore Digital Library
Author	Mohseni, H.R. Sanei, S.
Copyright Year	2010
Description	Author affiliation: Center of Digital Signal Processing, School of Engineering, Cardiff University, UK (Mohseni, H.R.; Sanei, S.)
Abstract	In this study a novel deflation based beamforming (BF) method for multiple dipole source localization of surface magnetoencephalogram (MEG) is considered. Two more constraints are added to the conventional BF formulation and a closed-form solution is given. The first constraint minimizes the power of the noise at the output of the BF. The second constraint simultaneously deflates the identified dipoles and identifies the next dipole. This method is called deflation BF and is capable of detecting highly correlated sources, as well as sources with small power which are dominated by other sources. An iterative deflation and localization method is also proposed to improve the accuracy of the method. The proposed method is compared with conventional BF for both simulated and real MEG data.
Starting Page	558
Ending Page	561
File Size	338975
Page Count	4
File Format	PDF
ISBN	9781424442959
ISSN	15206149
DOI	10.1109/ICASSP.2010.5495593
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-03-14
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Array signal processing Spatial resolution Iterative methods Electrodes Working environment noise Digital signal processing Power engineering and energy Closed-form solution Image resolution Neuroimaging magnetoencephalogram Beamforming deflation dipole source localization
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

A beamforming particle filter for EEG dipole source localization

Sound source localization with DAS beamforming method using small number of microphones

Dipole localization using beamforming and RAP-MUSIC on simulated intracerebral recordings

The Optimal Loading of Robust Adaptive Beamforming Based on Worst-Case Performance Optimization

Array processing in practical noise environments

Neural source localization using advanced sensor array signal processing techniques

Minimum Variance Brain Source Localization for Short Data Sequences

MEG source localization using a frequency beamformer

Acoustic Source Separation of Convolutive Mixtures Based on Intensity Vector Statistics

A new beamforming-based MEG dipole source localization method

Similar Documents

A beamforming particle filter for EEG dipole source localization

Sound source localization with DAS beamforming method using small number of microphones

Dipole localization using beamforming and RAP-MUSIC on simulated intracerebral recordings

The Optimal Loading of Robust Adaptive Beamforming Based on Worst-Case Performance Optimization

Array processing in practical noise environments

Neural source localization using advanced sensor array signal processing techniques

Minimum Variance Brain Source Localization for Short Data Sequences

MEG source localization using a frequency beamformer

Acoustic Source Separation of Convolutive Mixtures Based on Intensity Vector Statistics

A new beamforming-based MEG dipole source localization method