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Cardiac Fibrosis Detection Applying Machine Learning Techniques to Standard 12-Lead ECG
Conference ObjectAbstract: Hypertrophic cardiomyopathy (HCM) is a myocardial disorder that affects 0.2% of the population and iPalabras claves:Autores:GarcÍa-Alberola A., Gimeno-Blanes F.J., Gimeno-Blanes J.R., Jose Luis Rojo-Álvarez, Melgarejo-Meseguer F.M., Salar-Alcaraz M.E.Fuentes:scopusElectrocardiographic fragmented activity (I): Physiological meaning of multivariate signal decompositions
ArticleAbstract: Recent research has proven the existence of statistical relation among fragmented QRS and several hiPalabras claves:eCG, Fragmentation analysis, Fragmentation detection, ICA, Multivariate techniques, PCaAutores:GarcÍa-Alberola A., Gimeno-Blanes F.J., Gimeno-Blanes J.R., Jose Luis Rojo-Álvarez, Martínez-Sánchez J., Melgarejo-Meseguer F.M., Salar-Alcaraz M.E.Fuentes:scopusElectrocardiographic fragmented activity (II): A machine learning approach to detection
ArticleAbstract: Hypertrophic cardiomyopathy, according to its prevalence, is a comparatively common disease relatedPalabras claves:eCG, Fibrosis detection, Fragmentation detection, Machine learning, Multivariate techniquesAutores:GarcÍa-Alberola A., Gimeno-Blanes F.J., Gimeno-Blanes J.R., Jose Luis Rojo-Álvarez, Martínez-Sánchez J., Melgarejo-Meseguer F.M., Salar-Alcaraz M.E.Fuentes:scopus