Title
Fusion of Magnetometer and Gradiometer Sensors of MEG in the Presence of Multiplicative Error.
Abstract
Novel neuroimaging techniques have provided unprecedented information on the structure and function of the living human brain. Multimodal fusion of data from different sensors promises to radically improve this understanding, yet optimal methods have not been developed. Here, we demonstrate a novel method for combining multichannel signals. We show how this method can be used to fuse signals from ...
Year
DOI
Venue
2012
10.1109/TBME.2012.2195001
IEEE Transactions on Biomedical Engineering
Keywords
Field
DocType
Lead,Magnetometers,Magnetic sensors,Signal to noise ratio,Covariance matrix
Beamforming,Computer vision,Multiplicative function,Computer science,Signal-to-noise ratio,Gradiometer,Sensor fusion,Electronic engineering,Artificial intelligence,Covariance matrix,Magnetoencephalography,Spatial filter
Journal
Volume
Issue
ISSN
59
7
0018-9294
Citations 
PageRank 
References 
2
0.40
10
Authors
6
Name
Order
Citations
PageRank
Hamid Reza Mohseni1754.65
Mark W Woolrich2172394.51
Morten L. Kringelbach318521.07
Henry Luckhoo41055.25
Penny Probert Smith5153.59
Tipu Z. Aziz616813.34