• DocumentCode
    478697
  • 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
  • Volume
    2
  • fYear
    2008
  • fDate
    6-8 Sept. 2008
  • Firstpage
    42721
  • Lastpage
    42726
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • 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
  • Type

    conf

  • DOI
    10.1109/IS.2008.4670514
  • Filename
    4670514