Sergio Escalera, Oriol Pujol, Eric Laciar, Jordi Vitria, Esther Pueyo, & Petia Radeva. (2010). Classification of Coronary Damage in Chronic Chagasic Patients. In M. H.(eds) V. Sgurev (Ed.), Intelligent Systems – From Theory to Practice. Studies in Computational Intelligence (Vol. 299, pp. 461–478). Springer-Verlag.
Abstract: 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.
Keywords: Chagas disease; Error-Correcting Output Codes; High resolution ECG; Decoding
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Miguel Reyes, Jordi Vitria, Petia Radeva, & Sergio Escalera. (2010). Real-time Activity Monitoring of Inpatients. In Medical Image Computing in Catalunya: Graduate Student Workshop (35–36).
Abstract: In this paper, we present the development of an application capable of monitoring a set of patient vital signs in real time. The application has been designed to support the medical staff of a hospital. Preliminary results show the suitability
of the system to prevent the injury produced by the agitation of the patients.
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Petia Radeva, Judit Martinez, A. Tovar, X. Binefa, Jordi Vitria, & Juan J. Villanueva. (1999). CORKIDENT: an automatic vision system for real-time inspection of natural products.
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J.M. Sanchez, X. Binefa, Jordi Vitria, & Petia Radeva. (1999). Local Analysis for Scene Break Detection Applied to TV Commercials Recognition..
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Jordi Vitria, Petia Radeva, & X. Binefa. (1999). EigenHistograms: using low dimensional models of color distribution for real time object recognition.
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Petia Radeva, & Jordi Vitria. (2001). Region Based Approach for Discriminant Snakes..
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F. de la Torre, Jordi Vitria, Petia Radeva, & J. Melenchon. (2000). EigenFiltering for flexible Eigentracking. In 15 th International Conference on Pattern Recognition (Vol. 3, pp. 1118–1121).
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Petia Radeva, M. Bressan, A. Tovar, & Jordi Vitria. (2002). Bayesian Classification for Inspection of Industrial Products..
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Petia Radeva, M. Bressan, A. Tovar, & Jordi Vitria. (2002). Real-Time Inspection of cork stoppers using parametric methods in high dimensional spaces..
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Petia Radeva, M. Bressan, A. Tovar, & Jordi Vitria. (2002). Bayesian Classification for Inspection of Industrial Products..
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X. Binefa, J.M. Sanchez, Petia Radeva, & Jordi Vitria. (2000). Linking Visual Cues and Semantic Terms Under Specific Digital Video Domains..
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Petia Radeva, & Jordi Vitria. (2003). “Inteligencia artificial” Centre de Visio per Computador.
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Petia Radeva, & Jordi Vitria. (2001). Region-Based Approach for Discriminant Snakes.
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Petia Radeva, & Jordi Vitria. (2004). Discriminant Projections Embedding for Nearest Neighbor Classification.
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Jordi Vitria, Petia Radeva, & I. Aguilo. (2004). Recent Advances in Artificial Intelligence Research and Development. In Frontiers in Artificial Intelligence and Applications, 113, J. Vitria, P. Radeva, I. Aguilo (Eds.), ISBN: 1–58603–466–9.
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