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System for storage EEG/ERP data and metadata

JEŽEK, P., MOUČEK, R. System for storage EEG/ERP data and metadata. 2010.
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A lot of data are produced during EEG/ERP experiments. We have developed a custom system for the management of these experiments. The system enables clinicians and various communities of researchers to store, download, update, manage and share EEG/ERP experiments. Experiments are stored in the relational database, the system provides the web based user interface. Personal data are protected by system of users? accounts and groups with assigned user roles. A full-text search engine is implemented. Simultaneously a software tool providing data in the semantic web form (OWL or RDF representation) is proposed and widely tested. Currently the system is available at http://eegdatabase.kiv.zcu.cz.

Deriving Semantic web structures from EEG/ERP data source

MOUČEK, R., JEŽEK, P., PAPEŽ, V. Deriving Semantic web structures from EEG/ERP data source. 2010.
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The EEG/ERP data source has a tree layer architecture (MVC pattern) consisting of persistent layer (relational database), application layer (object oriented code) and presentation layer (JSP). There is a question which layer is more feasible for mapping of its structure into ontology. We have tested two possibilities: mapping from the relational database and mapping from the object oriented code. There are fundamental differences in richness of semantics between OWL and relational database or object oriented systems and there are also approaches how to bridge some of these semantic gaps. We transformed the relational database into ontology using D2RQ tool and OWL API. Then we transformed the object oriented code to OWL using Jenabean tool. The integration difficulties were solved.

System for storage and management of EEG/ERP experiments - generation of ontology

MOUČEK, R., JEŽEK, P. System for storage and management of EEG/ERP experiments - generation of ontology. In ICEIS 2010,vol. 1 , Databases and Information Systems Integration. Madeira: SciTePress, 2010. s. 415-420. ISBN: 978-989-8425-04-1
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This paper shortly describes the system, which provides the possibility to store and manage data and metadata from EEG/ERP experiments. The system is planned to be registered as a source of neuroscience data and metadata. It is one of the reasons we need to provide the system ontology. The scientific papers often describe the domain by using a semantic web language and consider this kind of domain modeling as a crucial point of software solution. However, real software applications use up the underlying data structures such as relational database and object classes. That is why the fundamental differences in semantics between common data structures (relational database, object oriented code) were summarized. The existing tools in semantic web domain were studied and partially tested. The first transformations from the system relational database and object oriented code were performed.

Adaption Method for BCI System on Subject

HOŠNA, M., MAUTNER, P. Adaption Method for BCI System on Subject. In 2010 International Conference on Bioinformatics and Biomedical Technology. New York: IEEE, 2010. s. 164-167. ISBN: 978-1-4244-6776-1
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Most of high accuracy BCI systems based upon the evoked potential P300 requires a training session for each subject before it can be used. This paper proposes a method of the adaptation process to improve the accuracy and avoid the training session. The process starts with a universally trained (not trained for a specific subject) classifier. The goal is to develop a classifier optimized for the subject who is using the system. The adaptation strategy includes personalization of the classifier. Results showed that for the electrodes set with 8 electrodes we can obtain a classifier with high accuracy and the process is able to perform the adaptation while the system is being used.

Using Mobile Agents in EEG Signal Processing

MOUČEK, R., ŠOLC, P. Using Mobile Agents in EEG Signal Processing. In ICAART 2010. Valencie: INSTICC, 2010. s. 155-158. ISBN: 978-989-674-021-4
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Our EEG/ERP repository contains large EEG/ERP data. The partner institutions would like to work with these data e.g. to verify their processing methods, but they cannot or they are not allowed to transfer large data collections over network. The possible solution is to use a mobile agent system. The paper briefly introduces the agent system Aglets and basic EEG processing methods implemented as mobile agents. The usability of this approach is tested on selected data files. The implementation of e-mail announcements within the mobile agent system is mentioned.

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