Title :
Coronary damage classification of patients with the Chagas disease with Error-Correcting Output Codes
Author :
Escalera, Sergio ; Pujol, Oriol ; Laciar, Eric ; Vitrià, Jordi ; Pueyo, Esther ; Radeva, Petia
Author_Institution :
Comput. Vision Center, Barcelona
Abstract :
The Chagaspsila disease is endemic in all Latin America, affecting millions of people in the continent. In order to diagnose and treat the Chagaspsila 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.
Keywords :
decoding; diseases; electrocardiography; error correction codes; feature extraction; patient diagnosis; Chagas disease diagnosis; coronary damage classification; decoding; error-correcting output codes; heart cycle feature extraction; high resolution ECG; Cardiac disease; Cardiology; Cardiovascular diseases; Computer vision; Decoding; Electrocardiography; Heart; Medical treatment; Parasitic diseases; Testing; Chagas disease; Error-Correcting Output Codes; decoding; high resolution ECG;
Conference_Titel :
Intelligent Systems, 2008. IS '08. 4th International IEEE Conference
Conference_Location :
Varna
Print_ISBN :
978-1-4244-1739-1
Electronic_ISBN :
978-1-4244-1740-7
DOI :
10.1109/IS.2008.4670514