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
https://doi.org/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.
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Proceedings
Fourth International Workshop on Knowledge Discovery, Knowledge Management and Decision Support
Part of series
Advances in Intelligent Systems Research
Publication Date
October 2013
ISBN
978-90-78677-86-4
ISSN
1951-6851
DOI
https://doi.org/10.2991/.2013.27How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

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  - 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  - https://doi.org/10.2991/.2013.27
ID  - CuenTellez2013/10
ER  -