Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/44064
Title: Reducing artifacts in TMS-evoked EEG
Authors: Fuertes, Juan José
Travieso, Carlos M. 
Álvarez, A.
Ferrer, M. A. 
Alonso, J. B. 
Keywords: Transcranial Magnetic Stimulation
Independent Component Analysis
Motor Cortex
Meg
Issue Date: 2010
Publisher: 0302-9743
Journal: Lecture Notes in Computer Science 
Conference: 5th International Conference on Hybrid Artificial Intelligence Systems 
5th International Conference on Hybrid Artificial Intelligence Systems, HAIS 2010 
Abstract: Transcranial magnetic stimulation induces weak currents within the cranium to activate neuronal firing and its response is recorded using electroencephalography in order to study the brain directly. However, different artifacts contaminate the results. The goal of this study is to process these artifacts and reduce them digitally. Electromagnetic, blink and auditory artifacts are considered, and Signal-Space Projection, Independent Component Analysis and Wiener Filtering methods are used to reduce them. These last two produce a successful solution for electromagnetic artifacts. Regarding the other artifacts, processed with Signal-Space Projection, the method reduces the artifact but modifies the signal as well. Nonetheless, they are modified in an exactly known way and the vector used for the projection is conserved to be taken into account when analyzing the resulting signals. A system which combines the proposed methods would improve the quality of the information presented to physicians.
URI: http://hdl.handle.net/10553/44064
ISBN: 978-3-642-13768-6
3642137687
ISSN: 0302-9743
DOI: 10.1007/978-3-642-13769-3_37
Source: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)[ISSN 0302-9743],v. 6076 LNAI, p. 302-310
Appears in Collections:Actas de congresos
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