Neuroinformatics

Medical Informatics - University of West Bohemia (CZE)
Web: https://mi.kiv.zcu.cz

The Neuroinformatics research group, a team of researchers, PhD, postgraduate and undergraduate students with experience in neuroinformatics, development of experimental software and hardware, and signal and medical data processing, specializes in performing experiments and subsequent long term storage, annotation, processing and evaluation of experimental data in the field of biosignals, especially brain signals. Within our experimental work we widely use the methods of electroencephalography (EEG) and event related potentials (ERP) to measure and evaluate electrical activity in the human brain and thus investigate human behavior under various conditions, for example in stressful and repetitive situations. The obtained experimental data we analyze using a variety of methods including machine learning algorithms. We are also continuously creating and improving a hardware and software infrastructure for research in biosignals.

Our laboratory is equipped with professional scanning equipment for EEG, ERP and other biosignals, including recording and analysis software. We also operate a driving stimulator and an acoustic and electrically shielded chamber. Hundreds of well annotated electrophysiological experiments are freely available on our EEGbase web portal. In our research cooperation we contribute our know-how for new therapies and product innovations. We act as a coordinator of the Czech National Node for Neuroinformatics focusing on standardized descriptions of electrophysiological experiments.

More detailed information about the group including its projects, publications, used and developed hardware devices and software tools, and other activities is available at http://neuroinformatics.kiv.zcu.cz.

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Software and hardware infrastructure for research in electrophysiology". The data article "Event-related potential datasets based on a three-stimulus paradigm" describes typical datasets stored, managed and shared in the web portal EEGbase (http://eegdatabase.kiv.zcu.cz/).