… : Premature ventricular contraction (PVC) is the common arrhythmia disease, affecting
thousands of individuals worldwide. However, the traditional PVC detection is cumbersome by …

… In this study, a classification model of premature ventricular contraction based on deep …
classification effect of premature ventricular contraction in the absence of digital ECG data. …

… Premature ventricular contractions (PVCs), common in the … a simplistic but powerful approach
to detect PVC from long-term ECG… features to detect PVC. Unlike previous systems used to …

… The objective of this project was to improve the accuracy of cardiac arrhythmia detection by
using advanced signal processing and machine learning methods. The proposed Computer-…

… including ventricular fibrillation … ventricular contractions (PVCs) entails treatment to prevent
escalating health problems. PVC stems from the presence of ectopic centres in the ventricles …

… The application of neural networks for automated detection of cardiac arrhythmia such as
PVCs has been the subject of research for a number of years, with various models …

… of automated mechanisms for the detection of PVC complexes. … ventricular contraction (PVC)
is a kind of arrhythmia caused by an ectopic cardiac pacemaker located in the ventricle. …

In this paper, we propose an electrocardiogram (ECG) technique for the automatic detection
of Premature Ventricular Contractions (PVC) based on multi-lead signals and on a deep …

… At first, PVCs in the ECG were detected by using an automated RR interval detection algorithm
[29]. Then, RR intervals were used for manual evaluation of ECG morphology to ensure …

… With this paper, we propose a CAD system for Preventricular Contraction (PVC) detection
based on HR signals. The HRV was analyzed with Recurrence Plots (RPs) and Recurrence …