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2008 21st IEEE International Symposium on Computer-Based Medical Systems
Separation of ERP and Noise Subspaces in EEG Data without Whitening
June 17-June 19
ISBN: 978-0-7695-3165-6
ASCII Text
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Andriy Ivannikov, Tommi K?rkk?inen, Tapani Ristaniemi, Heikki Lyytinen, "Separation of ERP and Noise Subspaces in EEG Data without Whitening," Computer-Based Medical Systems, IEEE Symposium on, pp. 65-69, 2008 21st IEEE International Symposium on Computer-Based Medical Systems, 2008.
 
 
BibTex
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@article{ 10.1109/CBMS.2008.51,
author = {Andriy Ivannikov and Tommi K?rkk?inen and Tapani Ristaniemi and Heikki Lyytinen},
title = {Separation of ERP and Noise Subspaces in EEG Data without Whitening},
journal ={Computer-Based Medical Systems, IEEE Symposium on},
volume = {0},
year = {2008},
issn = {1063-7125},
pages = {65-69},
doi = {http://doi.ieeecomputersociety.org/10.1109/CBMS.2008.51},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Computer-Based Medical Systems, IEEE Symposium on
TI - Separation of ERP and Noise Subspaces in EEG Data without Whitening
SN - 1063-7125
SP65
EP69
A1 - Andriy Ivannikov,
A1 - Tommi K?rkk?inen,
A1 - Tapani Ristaniemi,
A1 - Heikki Lyytinen,
PY - 2008
KW - Denoising
KW - Electroencephalography
KW - Event-Related Potential
KW - Subspace Separation
VL - 0
JA - Computer-Based Medical Systems, IEEE Symposium on
ER -
 
In this article, a method for separating linear subspaces of time-locked brain responses and other noise sources in multichannel electroencephalography data is proposed. The components related to time-locked and noise subspaces are distinguished by method based on different behavior they experience after traditional averaging. The actual separation of the two subspaces is performed without whitening by maximizing/minimizing the same criterion. The detailed derivation of the method is given, and the results of the method's application to simulated and real EEG datasets are studied. The possibilities of improving the results are also discussed.
Index Terms:
Denoising, Electroencephalography, Event-Related Potential, Subspace Separation
Citation:
Andriy Ivannikov, Tommi K?rkk?inen, Tapani Ristaniemi, Heikki Lyytinen, "Separation of ERP and Noise Subspaces in EEG Data without Whitening," cbms, pp.65-69, 2008 21st IEEE International Symposium on Computer-Based Medical Systems, 2008
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