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/).
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 -