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Event Abstract Back to Event EEG/ERP experiments - data and metadata structures Roman Moucek1* and Petr Ježek1 1 University of West Bohemia in Pilsen, Czechia This article comes out the results of 1st INCF Workshop on Sustainability of Neuroscience Databases; describes the aims of our research project, summarizes the problems with the storage and processing of EEG/ERP records and provides initial proposals to EEG/ERP data format standardization and data/metadata storage. Research aim: Our research team (Department of Computer Science and Engineering, University of West Bohemia cooperating) cooperates with Czech Technical University in Prague, Skoda Auto and many other institutions in the Czech Republic on the development of car intelligent assistance systems. The part of the project is focused on the measurement of driver actual attention level in a moving vehicle. The performed experiments are based on EEG/ERP measurements, and analysis and interpretation of their results. EEG/ERP data and metadata: The results of the EEG/ERP experiments (data, metadata) have to be stored to enable further analysis and interpretation. However, the laboratories usually use the hardware and software equipment from various manufacturers (our laboratory itself uses two various commercial systems with related software tools and a number of open source software tools). As the result, the incompatible data formats are introduced and incoherent metadata and metadata descriptions are presented (it is a common practice that only raw data without metadata layer are available – they are valueless because the next meaningful data processing is impossible). This is a very important obstacle of ERP research because the recording of data is a time—consuming and an expensive part of ERP experiments with several critical issues (operating costs, advertising a heterogeneous group of tested subjects, etc.). The software tools used for data recording and analysis also work with ordinary structure of directories. However, this is not sufficient for a large number of experiments and long-term data storage. Proposals: On the basis of our experience with EEG/ERP experiments, usage of commercial hardware devices and both commercial and open source software tools we • have proposed the first version of general EEG/ERP data format and metadata structures • have proposed the initial technological solution of EEG/ERP database • have created the conversion tools for a set of EEG/ERP data formats Our aim during INCF Congress Our aim during the INCF Congress is to discuss our ideas with a large number of people involving in EEG/ERP research. Conference: Neuroinformatics 2008, Stockholm, Sweden, 7 Sep - 9 Sep, 2008. Presentation Type: Poster Presentation Topic: Sustainability Citation: Moucek R and Ježek P (2008). EEG/ERP experiments - data and metadata structures. Front. Neuroinform. Conference Abstract: Neuroinformatics 2008. doi: 10.3389/conf.neuro.11.2008.01.114 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: 28 Jul 2008; Published Online: 28 Jul 2008. * Correspondence: Roman Moucek, University of West Bohemia in Pilsen, Pilsen, Czechia, moucek@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 Roman Moucek Petr Ježek Google Roman Moucek Petr Ježek Google Scholar Roman Moucek Petr Ježek PubMed Roman Moucek Petr Ježek 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.
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