DocumentCode
2947644
Title
Eigenbrains: The free vibrational modes of the brain as a new representation for EEG
Author
Poli, Riccardo ; Citi, Luca ; Salvaris, Mathew ; Cinel, Caterina ; Sepulveda, Francisco
Author_Institution
Sch. of Comput. Sci. & Electron. Eng., Univ. of Essex, Colchester, UK
fYear
2010
fDate
Aug. 31 2010-Sept. 4 2010
Firstpage
6011
Lastpage
6014
Abstract
We present a new transform for EEG signals whose basis functions are well suited to represent the large-scale dynamics associated with event related potentials. The method involves instantiating an approximate model of the electrical properties of the brain as a conductor medium and then studying the free vibrational modes of the model. These form a set of basis functions, which we call eigenbrains, that can be used to meaningfully re-represent the brain´s electrical activity. Eigenbrains are compared to principal component analysis and independent component analysis to highlight differences and similarities.
Keywords
bioelectric potentials; electroencephalography; independent component analysis; medical signal processing; principal component analysis; signal representation; EEG representation; basis functions; brain; eigenbrains; electrical properties; event-related potentials; free vibrational modes; independent component analysis; large-scale dynamics; principal component analysis; Ash; Brain modeling; Electrodes; Electroencephalography; Independent component analysis; Principal component analysis; Adult; Brain; Discriminant Analysis; Electroencephalography; Female; Humans; Male; Models, Biological; Principal Component Analysis; Reproducibility of Results; Statistics, Nonparametric; Vibration; Young Adult;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE
Conference_Location
Buenos Aires
ISSN
1557-170X
Print_ISBN
978-1-4244-4123-5
Type
conf
DOI
10.1109/IEMBS.2010.5627593
Filename
5627593
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