A Comparaison Between Specific And Generic Fuzzy Expert System For Athlete ECG Analysis

Najar Yousra*, Raouf Ketata**, Mekki Ksouri***
* Department of Informatics, Higher Institute of Informatics Tunis (ISI), Tunisia.
** Department of Electrical Engineering, National Institute of Applied Sciences and Technologies (INSAT), Tunisia.
*** Department of Electrical Engineering , National School of engineering of Tunis (ENIT), LASC, Tunisia.
Periodicity:May - July'2013
DOI : https://doi.org/10.26634/jes.2.2.2373

Abstract

Nowadays, heart disease prediction is a challenge to modern technologies. An Electrocardiogram (ECG) is a preferred tool that could help in making decision about heart conditions. However, uncertainties, that affect sensors measurements in ECG, raise the challenge. This paper describes automatic analysis of Electrocardiographic recordings (ECGs), through the analysis of variables using fuzzy inference systems. Concerned ECGs are specifically those of competitive football players. Hence, variables characterizing ECG are determined from Pre Competition Medical Assessment (PCMA) form imposed by FIFA. Two decision making fuzzy systems are developed. In the first hand, specific Fuzzy Expert System (FES) for ECG analysis is presented to decide about the state of concerned player. In another hand, generic fuzzy expert system, already used in industrial diagnosis and in video surveillance, is presented for the same purpose. Finally, a comparison between two systems is detailed to highlight the efficiency of using generic fuzzy expert system.

Keywords

Specific-Generic Fuzzy Expert System, ECG, PCMA, Uncertainty.

How to Cite this Article?

Yosra,N., Ketata,R., and Ksouri,M. (2013). A Comparaison Between Specific and Generic Fuzzy Expert System for Athlete ECG Analysis. i-manager’s Journal on Embedded Systems, 2(2), 23-30. https://doi.org/10.26634/jes.2.2.2373

References

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