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Title:
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CHARACTERIZATION OF ATRIAL FIBRILLATION ELECTROCARDIOGRAM BY OPTIMAL KNOTS ALLOCATION USING B-SPLINE USING MULTI-OBJECTIVE GENETIC ALGORITHM |
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Author(s):
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O. Valenzuela, M. Pasadas, B. Delgado-Marquez, O. Baños, F. Ortuño, H. Tribak, I. Rojas |
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ISBN:
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978-972-8939-93-9 |
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Editors:
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António Palma dos Reis and Ajith P. Abraham |
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Year:
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2013 |
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Edition:
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Single |
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Keywords:
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Multi-Objective Genetic Algorithm, ECG, B-Spline |
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Type:
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Short Paper |
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First Page:
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68 |
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Last Page:
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72 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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This work is focused on the development of intelligent classifiers in the area of biomedicine, focusing on the problem of diagnosing cardiac diseases based on the electrocardiogram (ECG), or more precisely on the differentiation of the types of atrial fibrillations.A novel methodology is presented for optimal placement and selections of knots, for approximating or fitting curves to data using smoothing splines. Due to the relevance of the placement of the knots in smoothing spline approximation, in order to have an optimal allocation of the number of knots and their positions, a Multi-Objective Genetic Algorithm has been developed, with the main purpose of avoiding a large number of local minima (in terms of approximation error for different system complexity or number of knots) existing in the problem of knots placement. With the information obtained with the b-spline approximation is possible to build a classifier that will be capable of distinguishing the different types Atrial Fibrillation pathology. |
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