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) …
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 …
Enhancing the performance of premature ventricular contraction detection in unseen datasets through deep learning with denoise and contrast attention module
Premature ventricular contraction (PVC) is a common and harmless cardiac arrhythmia that
can be asymptomatic or cause palpitations and chest pain in rare instances. However …
can be asymptomatic or cause palpitations and chest pain in rare instances. However …
A novel technique for the detection of myocardial dysfunction using ECG signals based on hybrid signal processing and neural networks
Heart disease prevention is one of the most important tasks for healthcare problems since
more than 50 million people around the world are at the risk of cardiovascular disease …
more than 50 million people around the world are at the risk of cardiovascular disease …
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 detection of premature ventricular contraction in ECG signals using enhanced template matching algorithm
AS Malek, A Elnahrawy, H Anwar… - Biomedical Physics & …, 2020 - iopscience.iop.org
Nowadays, with the increasing number of people who suffer from cardiovascular diseases
such as irregular heartbeats (arrhythmia), there is a vital need to pay more attention to …
such as irregular heartbeats (arrhythmia), there is a vital need to pay more attention to …
Detection of PVC by using a wavelet-based statistical ECG monitoring procedure
Y Jung, H Kim - Biomedical Signal Processing and Control, 2017 - Elsevier
Automatic detection of premature ventricular contractions (PVCs) is essential to timely
diagnosis of dangerous heart conditions. However, accurate detection of PVCs is …
diagnosis of dangerous heart conditions. However, accurate detection of PVCs is …
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) …
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 …
[HTML][HTML] One-parameter fractional linear prediction
The one-parameter fractional linear prediction (FLP) is presented and the closed-form
expressions for the evaluation of FLP coefficients are derived. Contrary to the classical first …
expressions for the evaluation of FLP coefficients are derived. Contrary to the classical first …