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MongoDB for Electrophysiology Experiments

JEŽEK, P., MOUČEK, R., DANĚK, J. MongoDB for Electrophysiology Experiments. In Proceedings of the International Conference on Health Informatics. Setúbal: Scitepress, 2014. s. 422-427. ISBN: 978-989-758-010-9
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Many efforts are devoted to provide a unified solution for maintaining data from electrophysiological experiments. Because large data collections of heterogeneous nature are obtained, neuroinformatics databases must be robust and flexible. Current database systems are of two types. The first one uses a fixed schema while the second one is schema free. This paper discusses usage of a NoSQL database, MongoDB, for electrophysiological experiments and investigates transformation of existing electroencephalography (EEG) and event-related potentials (ERP) database records in Oracle into MongoDB. Two perspectives, flexibility and performance are discussed. A final approach that profits from combination of both concepts, is also discussed.

Data and Metadata Models in Electrophysiology Domain

PAPEŽ, V., MOUČEK, R. Data and Metadata Models in Electrophysiology Domain. In Proceedings 2013 IEEE International Conference on Bioinformatics and Biomedicine. Piscataway: IEEE, 2013. s. 539-543. ISBN: 978-1-4799-1309-1
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Increasing requirements on data sharing in the domain of electrophysiology lead to proposing new terminologies and data models. A current trend is to describe data by ontologies and semantic web resources. However, classic technologies and models cannot be replaced in a short time. Due to this, dependencies between various data models should be explicitly described and properties, which the models have in common, should be unified. This work summarizes the current state in data modeling. It describes various ways to model and store data and transformation mechanisms between data models. It deals with well-known concepts (relational and object oriented model) as well as with emerging concepts (ontologies). Finally, the hierarchical metadata model consisting of levels with different expressive power is introduced.

Cognitive Event-Related Potential Waveform Latency Determination: Based on Result of Matching Pursuit Algorithm and Hilbert-Huang Transform

ŘONDÍK, T., MAUTNER, P. Cognitive Event-Related Potential Waveform Latency Determination: Based on Result of Matching Pursuit Algorithm and Hilbert-Huang Transform. In BMEI 2013. Piscataway: IEEE, 2013. s. 209-214. ISBN: 978-1-4799-2761-6 , ISSN: 1948-2914
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According to the statistics of car accident causes [11] given by Police of the Czech Republic, about 17.5 % of all car accidents are caused by lack of dedication to driving, including microsleep. A lot of car factories develop systems for fatigue prediction and microsleep detection. These systems are usually based on eye movement tracking or steering wheel movement analysis. But both these methods detect consequences of fatigue. From road safety point of view, it would be useful to be able to detect fatigue itself before it affects dedication to driving. We know there could be a correlation between cognitive eventrelated potential (ERP) waveform latency and the rate of attention ? the longest the latency is, the more tired the measured subject is. This paper deals with determination of latency of a cognitive ERP waveform from outputs of two algorithms we use for its detection and which we have the best experience with.

Cognitive Event-Related Potential Waveform Latency Determination

ŘONDÍK, T., MAUTNER, P. Cognitive Event-Related Potential Waveform Latency Determination. In BMEI 2013. Piscataway: IEEE, 2013. s. 209-214. ISBN: 978-1-4799-2760-9
Abstract PDF BibTeX

According to the statistics of car accident causes [11] given by Police of the Czech Republic, about 17.5 % of all car accidents are caused by lack of dedication to driving, including microsleep. A lot of car factories develop systems for fatigue prediction and microsleep detection. These systems are usually based on eye movement tracking or steering wheel movement analysis. But both these methods detect consequences of fatigue. From road safety point of view, it would be useful to be able to detect fatigue itself before it affects dedication to driving. We know there could be a correlation between cognitive eventrelated potential (ERP) waveform latency and the rate of attention ? the longest the latency is, the more tired the measured subject is. This paper deals with determination of latency of a cognitive ERP waveform from outputs of two algorithms we use for its detection and which we have the best experience with.

Mobile system for collecting EEG/ERP data and metadata

JEŽEK, P., MOUČEK, R. Mobile system for collecting EEG/ERP data and metadata. In MobileMed 2013. Praha: ČVUT Praha, 2013. s. 1-3.
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A lot of laboratories deal with management of experimental data. When experiments are conducted inside the laboratory, their results and their data/metadata are immediately stored using a common computer connected to the Internet. On the other hand, situations when the computer is not available, are frequent. It includes e. g. work outside the laboratory or discussions during scientific meetings. This work describes an android-based system developed to enable management of experiments outside the laboratory. Collected experiments are synchronized with a system intended for a long term storage and management of experimental data/metadata - the EEG/ERP Portal.

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