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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 (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:scopusQRS Fragmentation Index as a New Discriminator for Early Diagnosis of Heart Diseases
Conference ObjectAbstract: In the past few years, the presence of fragmentation in the QRS complex has been demonstrated to bePalabras claves:Autores:Everss-Villalba E., Flores-Yepes J.A., GarcÍa-Alberola A., Gimeno-Blanes F.J., Jose Luis Rojo-Álvarez, Melgarejo-Meseguer F.M., Molins-Bordallo Z., Salar-Alcaraz M.E.Fuentes:scopus