System for storage EEG/ERP data and metadata

Abstract

Event Abstract Back to Event System for storage EEG/ERP data and metadata Petr Ježek1* and Roman Moucek1 1 University of West Bohemia, Czechia In our research group at Department of Computer Sciences and Engineering, University of West Bohemia we widely perform experiments focused on attention, especially attention of driver’s or seriously injured people. Because during experiments a lot of data are produced and there is not a widely spread and generally used standard for EEG/ERP storing data/metadata we have developed own system for management of experiments. Our system enables clinicians and various communities of researchers to storage, download, update, manage and share EEG/ERP experiments. Experiments are stored in the relational database (Oracle 11g), user interface is web based to ensure easy interaction with user. Since system is thought to be finally open to the whole community there is necessary to protect personal data of tested subjects. Hence we have designed system of users’ accounts and system groups with assigned user roles (Anonymous user, Reader, Experimenter, Group administrator, Supervisor). Anonymous user can see only homepage with essential information about the system. Reared has created his/her account yet and he/she can download public experiments. Experimenter can insert his/her experiments. Group administrator is a user who established group and he/she can accept new members (Each user has to be a member at least of one group). Supervisor has an extra privilege to remove users or whole groups. The System is based on three-layer architecture (according to MVC design pattern). The used design pattern is directly supported by used technologies (Java EE with Spring, Spring MVC, Spring Security, Hibernate, Hibernate Search, etc.). It ensures a high level of abstraction (system extensibility) as well as a long term existence of the system as an open source. To enable registered users to search experiments easily we have implemented a full-text search engine. Simultaneously we have prepared an engine providing data in the semantic web form (OWL or RDF representation) existing tools were widely tested. When semantic web engine is implemented and data in the semantic web form are available we will register our system in the Neuroscience Information Framework. Nowadays the system is available in http://eegdatabase.kiv.zcu.cz/ for testing. We will be delighted if we would appreciate any feedback from users. Conference: Neuroinformatics 2010 , Kobe, Japan, 30 Aug - 1 Sep, 2010. Presentation Type: Oral Presentation Topic: Infrastructural and portal services Citation: Ježek P and Moucek R (2010). System for storage EEG/ERP data and metadata. Front. Neurosci. Conference Abstract: Neuroinformatics 2010 . doi: 10.3389/conf.fnins.2010.13.00104 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: 14 Jun 2010; Published Online: 14 Jun 2010. * Correspondence: Petr Ježek, University of West Bohemia, Plzen, Czechia, jezekp@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 Petr Ježek Roman Moucek Google Petr Ježek Roman Moucek Google Scholar Petr Ježek Roman Moucek PubMed Petr Ježek Roman Moucek 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.