Event Abstract

Database for EEG/ERP experiments

  • 1 University of West Bohemia, Computer Science and Engineering, Czechia

Our research group uses various commercial recording hardware equipment and software tools during our EEG/EEG experiments. We have encountered substantive problems with efficient organization of recorded data and collected metadata. In the first instance we searched for an existing software solution. However, these existing solutions have several important drawbacks (e.g. they are only first prototypes; they have performance problems; they are general and do not support specifics of EEG/ERP research). As the result we proposed and implemented a prototype of EEG/ERP database storage. We used Java technologies and tested possibilities of semantic web solutions. The first goal of this work was to summarize problems with the storage of EEG/ERP records. From large set of performed experiments we have decided which metadata are necessary for description of raw data – records of EEG/ERP experiments. The metadata proposal consists of several groups defined by their semantics. Then we proposed EEG/ERP database (data and metadata structures) and user application as well.

Our requirements, database and application solutions include:

• Storage of long records
• Unification of existing data formats and definition of universal data format
• Definition of metadata structures
• Providing possibility to add user’s own metadata
• Providing accessibility not only for researchers and clinicians but for public community as well
• Keeping the compatibility between existing data formats

The metadata was organized into several semantic groups. It includes information about:

• Scenario of experiment (name, length, description, ...)
• Experimenter and testing person (given name, surname, contact, experiences, handicaps, …)
• Used hardware (measuring equipment, type, description, …)
• Incidence of surrounding influence (weather, temperature, …)
• Description of raw data (format, sampling frequency, …)

We designed database scheme which was put on relational database server (Oracle 10g). The database contains tables for storing metadata and raw data of EEG/ERP experiments. The client’s side is based on web application (uses Java EE with Spring and Hibernate frameworks) which provides web interface for interaction with users. The web application provides possibilities for storing/downloading records of EEG/ERP experiments. Convertors between various data formats are available. Possibilities and technologies of semantic web were tested and e.g. OWL structures are provided to experienced users.

Conference: Neuroinformatics 2009, Pilsen, Czechia, 6 Sep - 8 Sep, 2009.

Presentation Type: Oral Presentation

Topic: Electrophysiology

Citation: Jezek P and Moucek R (2019). Database for EEG/ERP experiments. Front. Neuroinform. Conference Abstract: Neuroinformatics 2009. doi: 10.3389/conf.neuro.11.2009.08.057

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Received: 22 May 2009; Published Online: 09 May 2019.

* Correspondence: Petr Jezek, University of West Bohemia, Computer Science and Engineering, Pilsen, Czechia, jezekp@kiv.zcu.cz