@Inbook{SergioEscalera2010,
author="Sergio Escalera
and Oriol Pujol
and Eric Laciar
and Jordi Vitria
and Esther Pueyo
and Petia Radeva",
editor="V. Sgurev, M. Hadjiski",
chapter="Classification of Coronary Damage in Chronic Chagasic Patients",
title="Intelligent Systems -- From Theory to Practice. Studies in Computational Intelligence",
year="2010",
publisher="Springer-Verlag",
volume="299",
pages="461--478",
optkeywords="Chagas disease",
optkeywords="Error-Correcting Output Codes",
optkeywords="High resolution ECG",
optkeywords="Decoding",
abstract="Post Conference IEEE-IS 2008 The Chagas{\textquoteright} disease is endemic in all Latin America, affecting millions of people in the continent. In order to diagnose and treat the chagas{\textquoteright} disease, it is important to detect and measure the coronary damage of the patient. In this paper,we analyze and categorize patients into different groups based on the coronary damage produced by the disease. Based on the features of the heart cycle extracted using high resolution ECG, a multi-class scheme of Error-Correcting Output Codes (ECOC)is formulated and successfully applied. The results show that the proposed scheme obtains significant performance improvements compared to previous works and state-of-the-art ECOC designs.",
optnote="OR;MILAB;HUPBA;MV",
optnote="exported from refbase (http://refbase.cvc.uab.es/show.php?record=1452), last updated on Thu, 18 Jan 2018 12:01:18 +0100",
doi="10.1007/978-3-642-13428-9_23",
file=":http://refbase.cvc.uab.es/files/EPL2010.pdf:PDF"
}