DocumentCode
2744745
Title
Study on the spatial resolution of EEG - effect of electrode density and measurement noise
Author
Ryynänen, O. ; Hyttinen, J. ; Malmivuo, J.
Author_Institution
Ragnar Granit Inst., Tampere Univ. of Technol., Finland
Volume
2
fYear
2004
fDate
1-5 Sept. 2004
Firstpage
4409
Lastpage
4412
Abstract
The spatial resolution of electroencephalography (EEG) is studied by means of inverse cortical EEG solution. Special attention is paid to the effect of electrode density and the effect of measurement noise on the spatial resolution. A three-layer spherical head model is used as a volume conductor to obtain the source-field relationship of cortical potentials and scalp potential field. Effect of measurement noise is evaluated with truncated singular value decomposition (TSVD). Also simulations about different electrode systems´ ability to separate cortical sources are performed. The results show that as the measurement noise increases the advantage of dense electrode systems decreases. Our results suggest that in clinical measurement environment it is always beneficial to use at least 64 measurement electrodes. In low-noise realistic measurement environment the use of even 256 measurement electrodes is beneficial.
Keywords
bioelectric potentials; biomedical electrodes; brain models; electroencephalography; inverse problems; medical signal processing; noise; signal resolution; singular value decomposition; cortical potentials; electrode density; electroencephalography; inverse cortical EEG solution; measurement noise; scalp potential field; source-field relationship; spatial resolution; three-layer spherical head model; truncated singular value decomposition; volume conductor; Brain modeling; Conductors; Density measurement; Electrodes; Electroencephalography; Noise measurement; Scalp; Singular value decomposition; Spatial resolution; Working environment noise; EEG; cortical potentials; inverse problem; spatial resolution;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 2004. IEMBS '04. 26th Annual International Conference of the IEEE
Conference_Location
San Francisco, CA
Print_ISBN
0-7803-8439-3
Type
conf
DOI
10.1109/IEMBS.2004.1404226
Filename
1404226
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