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 …
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 …
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) …
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 …
caused by ectopic heartbeat, can lead to life-threatening cardiac conditions. Computer …
[HTML][HTML] Robust PVC identification by fusing expert system and deep learning
Premature ventricular contraction (PVC) is one of the common ventricular arrhythmias, which
may cause stroke or sudden cardiac death. Automatic long-term electrocardiogram (ECG) …
may cause stroke or sudden cardiac death. Automatic long-term electrocardiogram (ECG) …
Machine learning-data mining integrated approach for premature ventricular contraction prediction
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 …
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 …
arrhythmia disease, affecting thousands of individuals worldwide. However, the traditional …
Automated classification of normal and premature ventricular contractions in electrocardiogram signals
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 …
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 …
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 …
constantly monitor physiological parameters such as electrocardiograph (ECG) signals for …
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