PT Chapter
AU Sergio Escalera
   Oriol Pujol
   Eric Laciar
   Jordi Vitria
   Esther Pueyo
   Petia Radeva
TI Classification of Coronary Damage in Chronic Chagasic Patients
BT Intelligent Systems – From Theory to Practice. Studies in Computational Intelligence
PY 2010
BP 461
EP 478
VL 299
DI 10.1007/978-3-642-13428-9_23
DE Chagas disease; Error-Correcting Output Codes; High resolution ECG; Decoding
AB Post Conference IEEE-IS 2008 The Chagas’ disease is endemic in all Latin America, affecting millions of people in the continent. In order to diagnose and treat the chagas’ 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.
ER