Title :
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
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;
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
Print_ISBN :
0-7803-7612-9
DOI :
10.1109/IEMBS.2002.1134456
