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dc.contributor.author
Escalera, Sergio
dc.contributor.author
Pujol, Oriol
dc.contributor.author
Laciar Leber, Eric
dc.contributor.author
Vitrià, Jordi
dc.contributor.author
Pueyo, Esther
dc.contributor.author
Ivanova Radeva, Petia
dc.contributor.other
Sgurev, Vassil
dc.contributor.other
Hadjiski, Mincho
dc.contributor.other
Kacprzyk, Janusz
dc.date.available
2022-06-08T02:59:02Z
dc.date.issued
2010
dc.identifier.citation
Escalera, Sergio; Pujol, Oriol; Laciar Leber, Eric; Vitrià, Jordi; Pueyo, Esther; et al.; Classification of Coronary Damage in Chronic Chagasic Patients; Springer-v D I Verlag Gmbh; 2010; 461-477
dc.identifier.isbn
978-3-642-13427-2
dc.identifier.uri
http://hdl.handle.net/11336/159171
dc.description.abstract
American Trypanosomiasis or Chagas’ disease is an infectious illness caused by the parasite Tripanosoma Cruzi. This 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.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Springer-v D I Verlag Gmbh
dc.rights
info:eu-repo/semantics/restrictedAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.subject
ECG SIGNAL PROCESSING
dc.subject
ERROR CORRECTING OUTPUT CODES
dc.subject
CHAGAS DISEASE
dc.subject
CORONARY DAMAGE
dc.subject.classification
Ingeniería Médica
dc.subject.classification
Ingeniería Médica
dc.subject.classification
INGENIERÍAS Y TECNOLOGÍAS
dc.title
Classification of Coronary Damage in Chronic Chagasic Patients
dc.type
info:eu-repo/semantics/publishedVersion
dc.type
info:eu-repo/semantics/bookPart
dc.type
info:ar-repo/semantics/parte de libro
dc.date.updated
2022-06-06T16:06:37Z
dc.journal.pagination
461-477
dc.journal.pais
Alemania
dc.journal.ciudad
Berlin
dc.description.fil
Fil: Escalera, Sergio. Universidad de Barcelona; España. Universitat Autònoma de Barcelona; España
dc.description.fil
Fil: Pujol, Oriol. Universidad de Barcelona; España. Universitat Autònoma de Barcelona; España
dc.description.fil
Fil: Laciar Leber, Eric. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan; Argentina. Universidad Nacional de San Juan. Facultad de Ingeniería. Departamento de Electrónica y Automática. Gabinete de Tecnología Médica; Argentina
dc.description.fil
Fil: Vitrià, Jordi. Universidad de Barcelona; España. Universitat Autònoma de Barcelona; España
dc.description.fil
Fil: Pueyo, Esther. Centro de Investigación en Red en Bioingeniería; España. Universidad de Zaragoza; España
dc.description.fil
Fil: Ivanova Radeva, Petia. Universidad de Barcelona; España. Universitat Autònoma de Barcelona; España
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://link.springer.com/chapter/10.1007/978-3-642-13428-9_23
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/https://doi.org/10.1007/978-3-642-13428-9_23
dc.conicet.paginas
550
dc.source.titulo
Intelligent systems: From theory to practice
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