Differential Beat Accuracy for ECG Family Classification Using Machine Learning

Differential Beat Accuracy for ECG Family Classification Using Machine Learning

Holter systems record the electrocardiogram (ECG), which is used to identify beat families according to their origin and severity. Many systems have been proposed using signal conditioning and machine learning (ML) classification algorithms for beat family recognition. However, the design stage of t...

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Bibliographic Details
Main Authors: Alba Vadillo-Valderrama, Rebeca Goya-Esteban, Raul P. Caulier-Cisterna, Arcadi Garcia-Alberola, Jose Luis Rojo-Alvarez
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Machine learning
ECG morphology
MIT-BIH database
family beats
differential confusion matrix
differential beat accuracy
Online Access:https://ieeexplore.ieee.org/document/9970572/

Internet

https://ieeexplore.ieee.org/document/9970572/

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