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Greedy kernel PCA applied to single-channel EEG recordings

Tomé, A. M. and Teixeira, A. R and Lang, Elmar and Martins da Silva, A. (2007) Greedy kernel PCA applied to single-channel EEG recordings. proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS), pp. 5441-5444.

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Abstract

In this work, we propose the correction of univariate single channel EEGs using a kernel technique. The EEG signal is embedded in its time-delayed coordinates obtaining a multivariate signal. A kernel subspace technique is used for denoising and artefact extraction. The proposed kernel method follows a greedy approach to use a reduced data set to compute a new basis onto which to project the ...

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Item Type:Article
Date:2007
Institutions:Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie > Prof. Dr. Elmar Lang
Identification Number:
ValueType
18003242PubMed ID
10.1109/IEMBS.2007.4353576DOI
Related URLs:
URLURL Type
http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=4353576Publisher
Classification:
NotationType
AgedMESH
AlgorithmsMESH
Artificial IntelligenceMESH
Brain/physiopathologyMESH
Diagnosis, Computer-Assisted/methodsMESH
Electroencephalography/methodsMESH
Epilepsy/physiopathologyMESH
FemaleMESH
HumansMESH
MaleMESH
Pattern Recognition, Automated/methodsMESH
Principal Component AnalysisMESH
Reproducibility of ResultsMESH
Sensitivity and SpecificityMESH
Subjects:500 Science > 570 Life sciences
Status:Published
Refereed:Unknown
Created at the University of Regensburg:Unknown
Owner: Gertraud Kellers
Deposited On:12 Oct 2010 09:22
Last Modified:12 Oct 2010 09:22
Item ID:16965
Owner Only: item control page
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