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 …

Effective and efficient detection of premature ventricular contractions based on variation of principal directions

R Zarei, J He, G Huang, Y Zhang - Digital Signal Processing, 2016 - Elsevier
Classification of electrocardiogram (ECG) data stream is essential to diagnosis of critical
heart conditions. It is vital to accurately detect abnormality in the ECG in order to prevent …

Detection of premature ventricular contraction (PVC) using linear and nonlinear techniques: an experimental study

MH Mazidi, M Eshghi, MR Raoufy - Cluster Computing, 2020 - Springer
Cardiovascular diseases are identified as one of the most dangerous diseases and the
major causes of the death around the world. One of the most common cardiac arrhythmias …

Premature ventricular contraction detection from ambulatory ECG using recurrent neural networks

X Zhou, X Zhu, K Nakamura… - 2018 40th annual …, 2018 - ieeexplore.ieee.org
Premature ventricular contraction (PVC) is usually considered to as benign arrhythmia in the
absence of structural heart diseases. However, frequent premature beats may significantly …

[HTML][HTML] An artificial intelligence-enabled ECG algorithm for identifying ventricular premature contraction during sinus rhythm

SN Chang, YH Tseng, JJ Chen, FC Chiu… - European Journal of …, 2022 - Springer
Background Ventricular premature complex (VPC) is a common arrhythmia in clinical
practice. VPC could trigger ventricular tachycardia/fibrillation or VPC-induced …

Premature ventricular contraction recognition based on a deep learning approach

NT Sarshar, M Mirzaei - Journal of Healthcare Engineering, 2022 - Wiley Online Library
Electrocardiogram signal (ECG) is considered a significant biological signal employed to
diagnose heart diseases. An ECG signal allows the demonstration of the cyclical contraction …

Classification of premature ventricular contraction using deep learning

F De Marco, D Finlay, RR Bond - 2020 Computing in …, 2020 - ieeexplore.ieee.org
Electrocardiogram (ECG) analysis has been used to identify different heart problems and
deep learning is emerging as a common tool to analyse ECGs. Premature ventricular …

Multi-leads ECG premature ventricular contraction detection using tensor decomposition and convolutional neural network

T Hoang, N Fahier, WC Fang - 2019 IEEE Biomedical Circuits …, 2019 - ieeexplore.ieee.org
Premature Ventricular Contraction refers to irregular heartbeat and is one common symptom
to several heart diseases. Currently, physiological databases are not only large in volume …

A fully automatic model for premature ventricular heartbeat arrhythmia classification using the internet of medical things

A Shaikh, MS Al Reshan, A Sulaiman… - … Signal Processing and …, 2023 - Elsevier
Cardiac arrhythmias are one of the leading causes of increased mortality worldwide and
place a heavy burden on the medical environment. Premature ventricular contraction is the …

[HTML][HTML] Automatic premature ventricular contraction detection using deep metric learning and KNN

J Yu, X Wang, X Chen, J Guo - Biosensors, 2021 - mdpi.com
Premature ventricular contractions (PVCs), common in the general and patient population,
are irregular heartbeats that indicate potential heart diseases. Clinically, long-term …