Proceedings of the Fourth International Workshop on Knowledge Discovery, Knowledge Management and Decision Support

Towards a Formal Model for ECG Data Analysis and Decision Making

Authors
Oswaldo Cuen Tellez, Ines F. Vega Lopez
Corresponding Author
Oswaldo Cuen Tellez
Available Online October 2013.
DOI
10.2991/.2013.27How to use a DOI?
Keywords
ECG Data, ECG Formal Data Model, Convolution, QRS Detection
Abstract

ECG sequences databases lack of a formal way to model analysis and query operations. In the pursuit of such a formal model, the definition of relevant primitive operators is necessary. We identify the convolution operator of sequences as one of those primitive operators. We take two QRS detection algorithms and propose a new way to express them formally using the convolution operator of sequences.

Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the Fourth International Workshop on Knowledge Discovery, Knowledge Management and Decision Support
Series
Advances in Intelligent Systems Research
Publication Date
October 2013
ISBN
10.2991/.2013.27
ISSN
1951-6851
DOI
10.2991/.2013.27How to use a DOI?
Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Oswaldo Cuen Tellez
AU  - Ines F. Vega Lopez
PY  - 2013/10
DA  - 2013/10
TI  - Towards a Formal Model for ECG Data Analysis and Decision Making
BT  - Proceedings of the Fourth International Workshop on Knowledge Discovery, Knowledge Management and Decision Support
PB  - Atlantis Press
SP  - 225
EP  - 231
SN  - 1951-6851
UR  - https://doi.org/10.2991/.2013.27
DO  - 10.2991/.2013.27
ID  - CuenTellez2013/10
ER  -