The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Oct. 08, 2019

Filed:

Aug. 05, 2014
Applicant:

The Regents of the University of California, Oakland, CA (US);

Inventors:

Ming-Xiong Huang, San Diego, CA (US);

Roland R. Lee, San Diego, CA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
A61B 5/04 (2006.01); A61B 5/00 (2006.01); A61B 5/055 (2006.01);
U.S. Cl.
CPC ...
A61B 5/04008 (2013.01); A61B 5/04 (2013.01); A61B 5/04001 (2013.01); A61B 5/04005 (2013.01); A61B 5/055 (2013.01); A61B 5/7203 (2013.01); A61B 5/7235 (2013.01); A61B 5/04009 (2013.01);
Abstract

Methods, systems, and devices are disclosed for implementing magnetoencephalography (MEG) source imaging. In one aspect, a method includes determining a covariance matrix based on sensor signal data in the time domain or frequency domain, the sensor signal data representing magnetic-field signals emitted by a brain of a subject and detected by MEG sensors in a sensor array surrounding the brain, defining a source grid containing source locations within the brain that generate magnetic signals, the source locations having a particular resolution, in which a number of source locations is greater than a number of sensors in the sensor array, and generating a source value of signal power for each location in the source grid by fitting the selected sensor covariance matrix, in which the covariance matrix is time-independent based on time or frequency information of the sensor signal data.


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