Authors:
Petr Ježek
and
Roman Mouček
Affiliation:
University of West Bohemia, Czech Republic
Keyword(s):
MoBio, Sensor, Android, Mobile Application, Brain Data, Health Data, Domain Terminology, Data Transfer, EEGBase.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Knowledge Discovery and Information Retrieval
;
Knowledge-Based Systems
;
Sensor Networks
;
Software Development
;
Symbolic Systems
Abstract:
There are a lot of sensors for monitoring human health and/or fitness level on the market. They facilitate
collection of data from the human body and advanced devices even facilitate data transfer to remote servers
where the collected data are further processed. While health data, obtained e.g. from accelerometers or chest
straps, are collected rather frequently, brain electrophysiology data, obtained from surface electrodes, are
still collected relatively rarely. However, integration and correlation of brain signals with other sensory data
would be very interesting for next research of physical and mental health. Although capturing brain signals
in real environment still faces technological difficulties, current development of common infrastructure seems
to be useful. Then this article deals with various architectures and data formats used for storage and transfer
of sensory data and their possible integration with existing neuroinformatics approaches. As a solution we
introduced a
terminology describing data from a limited collection of sensors. The terminology is implemented
in the odML format and integrated in a proof-of-concept Android application. Data transfer, storage and
visualisation as well as integration with a remote neuroinformatics resource are presented.
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