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Neuroinformatics - Data management and analytic tools for EEG/ERP research

ŠTĚBETÁK, J., BRŮHA, P., MOUČEK, R. Neuroinformatics - Data management and analytic tools for EEG/ERP research. In Beyond AI: Interdisciplinary Aspects of Artifical Intelligence. Plzeň: ZČU, NTC, 2011. s. 91-95. ISBN: neuveden
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Brain research is currently a rapidly growing scientific field. Large amounts of data, various data formats and non-standardized domain descriptions lead to incompatible results and interpretations of neuroscientific data and to difficult communication between laboratories and scientific teams. Neuroinformatics, a newly established scientific field, provides integration across all levels and scales of neuroscience. Our research group has contributed to the building of a neuroinformatics infrastructure by developing and integrating data management and analytic tools for EEG/ERP (electroencephalography, event-related potential) research.

PRESTI Neuroscience Stimuli Presentation Software

JAROŠ, P., HÁKA, P., MOUČEK, R. PRESTI Neuroscience Stimuli Presentation Software. In Proceedings International conference on knowledge management and information sharing. Setúbal: SciTePress, 2011. s. 390-393. ISBN: 978-989-8425-81-2
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This paper summarizes a new approach for creating test scenarios and stimuli presentation in neuroinformatics ERP experiments. The approach uses visual programming that allows creation of test scenarios without a need of any programming language knowledge. The newly designed programming language is described in this paper. Solution for weaknesses of visual programming is provided. The next part deals with performance of stimuli presentation software to ensure lowest possible latency between stimuli presentation and synchronisation with electroencephalograph.

Software infrastructure for EEG/ERP research

MOUČEK, R., JAROŠ, P., JEŽEK, P., PAPEŽ, V. Software infrastructure for EEG/ERP research. In Proceedings of the International Conference on knowledge Enginering and Ontology Development 2011. Setúbal: SciTePress, 2011. s. 478-481. ISBN: 978-989-8425-80-5
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This paper deals with the software infrastructure for EEG/ERP (electroencephalography, event related potentials) research. The requirements for building this infrastructure have arisen from laboratory needs, unavailability of appropriate software tools and incompatibility of previously used commercial solutions. The standardization of EEG/ERP data formats and construction of complex and publicly open software infrastructure is also supported by International Neuroinformatics Coordinating Facility (INCF) since these efforts can significantly accelerate brain research. The presented software infrastructure includes the web based EEG/ERP portal as the central data storage for data/metadata obtained in EEG/ERP experiments and JERPA software as the desktop software tool for computationally demanding operations. Supporting libraries (e.g. library of signal processing methods), developed and integrated to EEG/ERP portal and/or JERPA software, are briefly described.

Semantic Web in EEG/ERP Portal

JEŽEK, P., MOUČEK, R. Semantic Web in EEG/ERP Portal. In 2011 4th International Conference on Biomedical Engineering and Informatics. New York: IEEE, 2011. s. 2076-2080. ISBN: 978-1-4244-9350-0
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A short introduction to the EEG/ERP domain and a software solution for storing and managing of EEG/ERP experiments is presented in this paper. This solution was developed as a standalone web based system available for the community of researches to enable storing of experiments. Because authors? plan, to register this EEG/ERP portal as a recognizable data source, requires providing a domain ontology authors investigate the transformation of stored experiments into the Semantic web form. The transformation of experiments from the EEG/ERP portal into the Semantic web structures that resulted in the presented ontology is presented. Authors? presented a custom framework that adds missing semantics into the object-oriented code using Java Annotations. The paper also presents the ontology generated using a developed framework. Subsequently the paper simply describes a registration of the domain ontology within the Neuroscience Informational Framework.

Comparison of Various Approaches for P3 Component Detection using Basic Methods for Signal Processing

ŘONDÍK, T., CINIBURK, J. Comparison of Various Approaches for P3 Component Detection using Basic Methods for Signal Processing. In 2011 th International Conference on Biomedical Engineering and Informatics. New York: IEEE, 2011. s. 700-704. ISBN: 978-1-4244-9350-0
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The paper deals with ERP (Event related potentials) components detection using wavelet transform (both continuous and discrete form), matching pursuit algorithm and Hilbert-Huang transform. The EEG/ERP domain is shortly introduced and essential information about EEG and ERP signals is given. The wavelet transform, matching pursuit algorithm, and Hilbert-Huang transform are introduced and their suitability for ERP components detection is described. Experimental results obtained by using these algorithms for P3 component detection are summarized.

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