Automated classification model with OTSU and CNN method for premature ventricular contraction detection

LH Wang, LJ Ding, CX Xie, SY Jiang, IC Kuo… - IEEE …, 2021 - ieeexplore.ieee.org
Premature ventricular contraction (PVC) is one of the most common arrhythmias which can
cause palpitation, cardiac arrest, and other symptoms affecting the work and rest activities of …

Classification of premature ventricular contraction in ECG

Y Kaya, H Pehlivan - … Journal of Advanced Computer Science and …, 2015 - avesis.ktu.edu.tr
Cardiac arrhythmia is one of the most important indicators of heart disease. Premature
ventricular contractions (PVCs) are a common form of cardiac arrhythmia caused by ectopic …

An effective premature ventricular contraction detection algorithm based on adaptive template matching and characteristic recognition

J Xu, X Mei, Y Chen, X Wan - Signal, Image and Video Processing, 2024 - Springer
Traditional premature ventricular contraction (PVC) detection algorithms based on template
matching use fixed templates which is sensitive to the variability of electrocardiogram (ECG) …

Premature ventricular contraction detection combining deep neural networks and rules inference

F Zhou, L Jin, J Dong - Artificial intelligence in medicine, 2017 - Elsevier
Premature ventricular contraction (PVC), which is a common form of cardiac arrhythmia
caused by ectopic heartbeat, can lead to life-threatening cardiac conditions. Computer …

[HTML][HTML] Robust PVC identification by fusing expert system and deep learning

Z Cai, T Wang, Y Shen, Y Xing, R Yan, J Li, C Liu - Biosensors, 2022 - mdpi.com
Premature ventricular contraction (PVC) is one of the common ventricular arrhythmias, which
may cause stroke or sudden cardiac death. Automatic long-term electrocardiogram (ECG) …

Machine learning-data mining integrated approach for premature ventricular contraction prediction

Q Mastoi, MS Memon, A Lakhan… - Neural Computing and …, 2021 - Springer
Cardiac arrhythmias impose a significant burden on the healthcare environment due to the
increasing ratio of mortality worldwide. Arrhythmia and abnormal ECG heartbeat are the …

Automated detection of premature ventricular contraction based on the improved gated recurrent unit network

J Wang - Computer Methods and Programs in Biomedicine, 2021 - Elsevier
Abstract Background and Objective: Premature ventricular contraction (PVC) is the common
arrhythmia disease, affecting thousands of individuals worldwide. However, the traditional …

Automated classification of normal and premature ventricular contractions in electrocardiogram signals

NZN Jenny, O Faust, W Yu - Journal of Medical Imaging and …, 2014 - ingentaconnect.com
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 …

Classification of PVC beat in ECG using basic temporal features

Y Kaya - Balkan Journal of Electrical and Computer Engineering, 2018 - dergipark.org.tr
Premature ventricular contraction (PVC) is one of the most important arrhythmias among the
various hearth abnormalities. Premature depolarization of the myocardium in the ventricular …

Premature ventricular contraction analysis for real-time patient monitoring

R Allami - Biomedical Signal Processing and Control, 2019 - Elsevier
Background and objective Improvements in wearable sensor devices make it possible to
constantly monitor physiological parameters such as electrocardiograph (ECG) signals for …