Publications

sort by:  author date

Using the Windowed Means paradigm for Single Trial P300 Detection

VAŘEKA, L., MAUTNER, P. Using the Windowed Means paradigm for Single Trial P300 Detection. In 2014 TSP. Brno: VUT Brno, 2014. s. 499-502. ISBN: 978-80-214-4983-1 , ISSN: 1805-5435
Abstract PDF BibTeX

The Windowed means paradigm is a method for slow-changing cortical potentials feature extraction, most importantly in reaction to events. It has been successfully used for various brain-computer interfaces. The objective of this paper was to evaluate if this paradigm is also appropriate for P300 brain-computer interfaces. The modified method was tested on five healthy subjects. The optimal selection of parameters was discussed. The Windowed means paradigm was successful for the P300 detection on the testing data-set.

Self-organizing Maps for Event-Related Potential Data Analysis

VAŘEKA, L., MAUTNER, P. Self-organizing Maps for Event-Related Potential Data Analysis. In Healthinf 2014 - Proceedings of the international conference on health informatics. Setúbal: SciTePress, 2014. s. 387-392. ISBN: 978-989-758-010-9
Abstract PDF BibTeX

Event-related potentials (ERPs) and especially the P300 component have been gaining attention in braincomputer interface design and neurobiological research. The detection of the P300 component in electroencephalographic signal is challenging since its signal-to-noise ratio is very low. Instead of using traditional supervised pattern recognition, this paper discusses using unsupervised neural networks for the P300 classification purposes. To validate the proposed approach, a method for the P300 detection based on matching pursuit and self-organizing maps is proposed and evaluated. The results may be applied to the design of brain-computer interfaces.

Desing of Full-text Search for Database and Linkedin Social Network in Electrophysiology

ŠTĚBETÁK, J., MOUČEK, R., KOREŇ, J. Desing of Full-text Search for Database and Linkedin Social Network in Electrophysiology. In Proceedings of the International Conference on Health Informatics. Setúbal: SciTePress, 2014. s. 238-243. ISBN: 978-989-758-010-9
Abstract PDF BibTeX

EEG/ERP (electroencephalography, event-related potential) laboratories produce experimental data and metadata. Authors\' research group has contributed to the building of a neuroinformatics infrastructure by developing and integrating data management and analytic tools for EEG/ERP research - the EEG/ERP Portal. With the development of the Portal and the increasing amount of data/metadata, a proper full text search mechanism for efficient information retrieval is necessary to improve the user experience. The presented solution combines search over data/metadata stored in an electrophysiological database and in the LinkedIn social network. Open source search engines, criteria, suitable engine selection, and index design are presented. Integration of the full-text solution to the EEG/ERP Portal is described.

Model of Syntactic Compatibility in Worksflows for Electrophysiology

ŠTĚBETÁK, J., MOUČEK, R. Model of Syntactic Compatibility in Worksflows for Electrophysiology. In Proceedings of the International Conference on Health Informatics. Setúbal: SciTePress, 2014. s. 442-446. ISBN: 978-989-758-010-9
Abstract PDF BibTeX

Large amounts of EEG/ERP (electroencephalography, event-related potential) data are produced by scientific laboratories. For complex analysis, data are processed by a set of methods sequentially or in parallel. These processes are known as workflows. However, various input/output formats of used methods involve difficulties while putting methods in a pipe. Simple syntactic rules comparing formats of input/output are already used by workflow engines. In electrophysiology, it is necessary to extend these rules due to variety of methods. Therefore, extension of syntactic rules between subsequent methods in a workflow is presented in this paper. The proposed solution allows creating more complex workflows in the domain of electrophysiology.

Attention of Driver during Simulated Drive

MOUČEK, R., KOŠAŘ, V. Attention of Driver during Simulated Drive. In HEALTHINF 2014. Setúbal: SciTePress, 2014. s. 543-550. ISBN: 978-989-758-010-9
Abstract PDF BibTeX

Attention of drivers is a key factor of road safety. Since inattentive drivers cause a considerable number of accidents, it is worth to examine the causes and course of driver\'s attention even in laboratory conditions during a simulated drive. This paper deals with the experiment in which the methods of electroencephalography and event related potentials are used under various conditions to investigate driver\'s attention. Eleven participants, university students, were stimulated with audio signals during monotonous drive in four experimental sessions. The hypothesis is that the peak latency of the P3 component increases in time as the driver is more tired from monotonous drive, daytime and sleep deprivation. The background of the used methods, experimental design, participants, data processing, results and final discussion are presented in this paper.

Our partners