Detection of ERP components - comparison of basic methods and their modifications

Abstract

Event Abstract Back to Event Detection of ERP components - comparison of basic methods and their modifications Tomas Rondik1* and Jindrich Ciniburk1 1 University of West Bohemia, Department of Computer Science and Engineering, Czechia Department of Computer Science and Engineering, University of West Bohemia, Pilsen, Czech Republic Our research group in cooperation with other partner institutions (Czech Technical University in Prague, University Hospital in Pilsen, Škoda Auto Inc ...) specializes in the research of attention, especially attention of drivers and seriously injured people. With regard to our research we widely use the methods of electroencephalography (EEG) and event related potentials (ERP). Within our partner network we are responsible for technical and scientific issues, e.g. EEG/ERP laboratory operation, development of advanced software tools for EEG/ERP research, or analysis and proposal of signal processing methods. EEG and ERP experiments take usually long time and produce a lot of data. With the increasing number of experiments carried out in our laboratory we had to solve not only their long-term storage and management but also proposal and implementation of methods for their efficient analysis and processing. For example, it is a common task to look for a specific ERP component in the EEG signal to verify users’ reaction to a stimulus. It is a key aspect especially in brain-computer interface applications based on the ERP technique. We compared four methods and their modifications suitable for ERP detection - continuous wavelet transform (CWT), discrete wavelet transform (DWT), matching pursuit algorithm (MP) and Hilbert–Huang transform (HHT). The comparative criterion is their ability to detect whether an ERP component is / is not present in the EEG signal. There are many ways to implement a specific algorithm (or its modification), usually with the same aim – to make the algorithm faster. However, then aim of this comparison was to select a suitable method for ERP detection. The method will be used in our research and demo-applications in the future. Keywords: brain machine interface, Neuroimaging Conference: 4th INCF Congress of Neuroinformatics, Boston, United States, 4 Sep - 6 Sep, 2011. Presentation Type: Poster Presentation Topic: Neuroimaging Citation: Rondik T and Ciniburk J (2011). Detection of ERP components - comparison of basic methods and their modifications. Front. Neuroinform. Conference Abstract: 4th INCF Congress of Neuroinformatics. doi: 10.3389/conf.fninf.2011.08.00022 Copyright: The abstracts in this collection have not been subject to any Frontiers peer review or checks, and are not endorsed by Frontiers. They are made available through the Frontiers publishing platform as a service to conference organizers and presenters. The copyright in the individual abstracts is owned by the author of each abstract or his/her employer unless otherwise stated. Each abstract, as well as the collection of abstracts, are published under a Creative Commons CC-BY 4.0 (attribution) licence (https://creativecommons.org/licenses/by/4.0/) and may thus be reproduced, translated, adapted and be the subject of derivative works provided the authors and Frontiers are attributed. For Frontiers’ terms and conditions please see https://www.frontiersin.org/legal/terms-and-conditions. Received: 17 Oct 2011; Published Online: 19 Oct 2011. * Correspondence: Dr. Tomas Rondik, University of West Bohemia, Department of Computer Science and Engineering, Pilsen, Czechia, trondik@kiv.zcu.cz Login Required This action requires you to be registered with Frontiers and logged in. To register or login click here. Abstract Info Abstract The Authors in Frontiers Tomas Rondik Jindrich Ciniburk Google Tomas Rondik Jindrich Ciniburk Google Scholar Tomas Rondik Jindrich Ciniburk PubMed Tomas Rondik Jindrich Ciniburk Related Article in Frontiers Google Scholar PubMed Abstract Close Back to top Javascript is disabled. Please enable Javascript in your browser settings in order to see all the content on this page.