Somatosensory evoked potentials sources revealed by ICA

Author

Valencia, Miguel ; Malanda, Armando ; Artieda, Julio ; Alegre, Manuel ; De Gurtubay, Inaki G. ; Lecumberri, Pablo ; Gómez, Marisol ; Colino, Manuel

Volume

1

fYear

2002

fDate

2002

Firstpage

202

Abstract

Independent component analysis (ICA) is one of the techniques proposed to solve the blind source separation (BSS) problem. ICA has proven to be an efficient tool for artifact extraction and analysis of electroencephalographic (EEG) recordings. In this work ICA is used to look for independent components of somatosensory evoked potentials (SEPs). Results agree with the classical SEP source modeling theory.

Keywords

bioelectric potentials; blind source separation; electroencephalography; independent component analysis; medical signal processing; neurophysiology; somatosensory phenomena; 4 kHz; 63.75 ms; EEG; ICA; artifact extraction; blind source separation; cortical sources extraction; electric stimulation; independent component analysis; peripheral nerves; somatosensory evoked potentials; sources extraction; Blind source separation; Brain modeling; Computer science; Electrodes; Electroencephalography; Independent component analysis; Neurons; Scalp; Source separation; Surfaces;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology, 2002. 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society EMBS/BMES Conference, 2002. Proceedings of the Second Joint

ISSN

1094-687X

Print_ISBN

0-7803-7612-9

Type

conf

DOI

10.1109/IEMBS.2002.1134456

Filename

1134456