Ontology based Description of Analytic Methods for Electrophysiology

Jan Štebeták, Roman Moucek

Abstract

The growing electrophysiology research leads to the collection of large amounts of experimental data and consequently to the broader application, eventually development of analytic methods, algorithms, and workflows. Then appropriate metadata definition and related data description is critical for long term storage and later identification of experimental data. Although a detailed description of electrophysiology data has not become a commonly used procedure so far, publicly available and well described data have started to appear in professional journals. The next reasonable step is to shift attention to the analysis of electrophysiology data. Since the analysis of this kind of data is rather complex, identification and appropriate description of used methods, algorithms and workflows would help reproducibility of the research in the field. This description would also allow developing automatic or semi-automatic systems for data analysis or constructing complex workflows in a more user friendly way. Based on these assumptions authors present a custom ontology for description of analytic methods and workflows in electrophysiology that is proposed to be discussed within the scientific community.

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Paper Citation


in Harvard Style

Štebeták J. and Moucek R. (2016). Ontology based Description of Analytic Methods for Electrophysiology . In Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: HEALTHINF, (BIOSTEC 2016) ISBN 978-989-758-170-0, pages 420-425. DOI: 10.5220/0005814004200425


in Bibtex Style

@conference{healthinf16,
author={Jan Štebeták and Roman Moucek},
title={Ontology based Description of Analytic Methods for Electrophysiology},
booktitle={Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: HEALTHINF, (BIOSTEC 2016)},
year={2016},
pages={420-425},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005814004200425},
isbn={978-989-758-170-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: HEALTHINF, (BIOSTEC 2016)
TI - Ontology based Description of Analytic Methods for Electrophysiology
SN - 978-989-758-170-0
AU - Štebeták J.
AU - Moucek R.
PY - 2016
SP - 420
EP - 425
DO - 10.5220/0005814004200425