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Using ART2 for Clustering of Gabor Atoms Describing ERP P3 Waveforms

ŘONDÍK, T., MAUTNER, P. Using ART2 for Clustering of Gabor Atoms Describing ERP P3 Waveforms. In BMEI 2012. Los Alamitos: IEEE, 2012. s. 477-481. ISBN: 978-1-4673-1182-3
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This paper deals with a suitable method for decomposition of EEG/ERP signal to waveforms which are grouped is such way that one or few groups contain ERP P3 waveforms. At the beginning, the EEG/ERP domain is briefly introduced and essential information about EEG and ERP signals is given. Then, the method for waveforms grouping based on matching pursuit algorithm with Gabor dictionary as a preprocessing method for feature extraction for ART2 neural network is explained in detail. Emphasis is placed on selection of suitable feature extraction method. Comparison of tested feature extraction methods and summarization is given at the end.

Model of Storage of ERP Protocols in EEG/ERP Portal

PAPEŽ, V., MOUČEK, R. Model of Storage of ERP Protocols in EEG/ERP Portal. In BMEI 2012. Los Alamitos: IEEE, 2012. s. 1286-1290. ISBN: 978-1-4673-1182-3
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The EEG/ERP (Electroencephalography/Even- Related Potentials) Portal serves for storage and management of ERP experiments. The protocols describing these experiments are designed and implemented using various software applications and/or hardware devices. Some protocols are kept in XML files and stored in the EEG/ERP portal database as LOB (Large Object) data types. Since it is important for researchers to directly find details about design of the ERP protocols in the related XML files and it is also hard to use LOB data for generating the semantic web output, storage types provided by the Oracle 11g database system were investigated and compared. Therefore a new model of storage of ERP protocols is introduced. This model is finally simplified after analysis of results of performance tests.

Driver´s Attention during Monotonous Driving

MOUČEK, R., ŘEŘICHA, J. Driver´s Attention during Monotonous Driving. In BMEI 2012. Los Alamitos: IEEE, 2012. s. 343-347. ISBN: 978-1-4673-1182-3
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Attention of drivers is a key factor of road safety. Inattentive drivers are dangerous to their surroundings and cause a considerable number of accidents. However, decline of attention, especially during long rides, is natural and it is worth to know if it can be investigated from electric activity of the brain. Since there is an evidence of relationship between attention and P3 component which is widely used in design and analysis of experiments by the method of event related potentials (ERPs), the ERP experiment based on auditory stimulation was designed and performed on tested subjects, which drove a car simulator on a monotonous track. The background of the used method, experimental design, data processing, and results of the performed experiments are described in this paper.

Ontology Development in EEG/ERP Portal

JEŽEK, P., MOUČEK, R. Ontology Development in EEG/ERP Portal. In BMEI 2012. Los Alamitos: IEEE, 2012. s. 1291-1295. ISBN: 978-1-4673-1182-3
Abstract PDF BibTeX

The EEG/ERP (Electroencephalography/Even- Related Potentials) Portal serves for storage and management of ERP experiments. The protocols describing these experiments are designed and implemented using various software applications and/or hardware devices. Some protocols are kept in XML files and stored in the EEG/ERP portal database as LOB (Large Object) data types. Since it is important for researchers to directly find details about design of the ERP protocols in the related XML files and it is also hard to use LOB data for generating the semantic web output, storage types provided by the Oracle 11g database system were investigated and compared. Therefore a new model of storage of ERP protocols is introduced. This model is finally simplified after analysis of results of performance tests.

Semantic Framework in EEG/ERP Portal

JEŽEK, P., MOUČEK, R. Semantic Framework in EEG/ERP Portal. Mnichov, 2012.
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Since a collection of obtained data/metadata from EEG/ERP experiments gradually grows we had to solve their long term storage and management. As a solution we developed the EEG/ERP Portal as a core of a complete software infrastructure supporting EEG/ERP research. Since we are working on the registration of the EEG/ERP Portal as a recognizable data source within NIF we provide the stored experiments in the form of the Semantic Web structures. Since the EEG/ERP Portal is a Java-based application with the data layer using common JavaBeans we are simultaneously developing the Semantic Framework that transforms input JavaBeans into the Semantic Web languages. The Semantic Framework is being developed as a single library. It is used as a black box with the input in the form of a set of JavaBeans and the output in the form of an ontology document. The ontology document can be serialized into several supported syntaxes. We currently support RDF/XML, OWL/XML, Turtle, and abbreviated OWL/XML formats. Because of semantic gaps between object-oriented and Semantic Web models we proposed and implemented an extension of common JavaBean using Java Annotations.

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