Electrocardiographic Fragmented Activity (II): A Machine Learning Approach to Detection

Electrocardiographic Fragmented Activity (II): A Machine Learning Approach to Detection

Hypertrophic cardiomyopathy, according to its prevalence, is a comparatively common disease related to the risk of suffering sudden cardiac death, heart failure and stroke. This illness is characterized by the excessive deposition of collagen among healthy myocardium cells. This situation, which is...

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Bibliographic Details
Main Authors: Francisco-Manuel Melgarejo-Meseguer, Francisco-Javier Gimeno-Blanes, María-Eladia Salar-Alcaraz, Juan-Ramón Gimeno-Blanes, Juan Martínez-Sánchez, Arcadi García-Alberola, José Luis Rojo-Álvarez
Format: Article
Language:English
Published: MDPI AG 2019-08-01
Series:Applied Sciences
Subjects:
ECG
fragmentation detection
multivariate techniques
fibrosis detection
machine learning
Online Access:https://www.mdpi.com/2076-3417/9/17/3565

Internet

https://www.mdpi.com/2076-3417/9/17/3565

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