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Authors: Petr Ježek 1 ; Roman Moucek 1 ; Jakub Krauz 1 ; Jaroslav Hošek 1 ; Yann Le Franc 2 ; Thomas Wachtler 3 and Jan Grewe 3

Affiliations: 1 University of West Bohemia, Czech Republic ; 2 e-Science Data Factory S.A.S.U., University of Antwerp and Ludwig-Maximilians-Universität München, France ; 3 Ludwig-Maximilians-Universität München, Germany

ISBN: 978-989-758-068-0

Keyword(s): Electrophysiology, Mobile App, odML, EEGBase, Experimental Metadata.

Related Ontology Subjects/Areas/Topics: Biomedical Engineering ; Databases and Datawarehousing ; Distributed and Mobile Software Systems ; Health Engineering and Technology Applications ; Health Information Systems ; Mobile Technologies ; Mobile Technologies for Healthcare Applications ; Neural Rehabilitation ; Neurotechnology, Electronics and Informatics ; Software Engineering ; Software Systems in Medicine

Abstract: Experiments in electrophysiology produce a lot of unstructured metadata collected in electrophysiology databases. The data are usually accessed through a web interface implemented on the top of data model respecting given data format. A lot of experiments are conducted outside the laboratory where access to these databases is not always available. The usage of mobile devices such as tablets or smart phones seems to be a practical solution, but users would welcome the same structured user interface such as they know from a common computer. When user interfaces of electrophysiology databases are tailored to a unique data structure, they cannot be easily reused on a mobile device. As a solution, a mapping of a general data structure to a graphical template is proposed. This mapping is implemented in a framework that generates a template representing the database structure. The parsing process is driven by supplemented annotations added to the code. Next, an Android tool visualizing a gra phical layout generated from the template is developed. A use case study is presented on a database of EEG/ERP experiments. (More)

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Paper citation in several formats:
Ježek P., Moucek R., Krauz J., Hošek J., Le Franc Y., Wachtler T. and Grewe J. (2015). Framework for Collection of Electrophysiology Data.In Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2015) ISBN 978-989-758-068-0, pages 558-565. DOI: 10.5220/0005275605580565

@conference{healthinf15,
author={Petr Ježek and Roman Moucek and Jakub Krauz and Jaroslav Hošek and Yann Le Franc and Thomas Wachtler and Jan Grewe},
title={Framework for Collection of Electrophysiology Data},
booktitle={Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2015)},
year={2015},
pages={558-565},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005275605580565},
isbn={978-989-758-068-0},
}

TY - CONF

JO - Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2015)
TI - Framework for Collection of Electrophysiology Data
SN - 978-989-758-068-0
AU - Ježek P.
AU - Moucek R.
AU - Krauz J.
AU - Hošek J.
AU - Le Franc Y.
AU - Wachtler T.
AU - Grewe J.
PY - 2015
SP - 558
EP - 565
DO - 10.5220/0005275605580565

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