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
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 gr
aphical layout generated from the template is developed. A use
case study is presented on a database of EEG/ERP experiments.
(More)