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 …
Effective and efficient detection of premature ventricular contractions based on variation of principal directions
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 …
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
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 …
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
Premature ventricular contraction (PVC) is usually considered to as benign arrhythmia in the
absence of structural heart diseases. However, frequent premature beats may significantly …
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 …
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 …
diagnose heart diseases. An ECG signal allows the demonstration of the cyclical contraction …
Classification of premature ventricular contraction using deep learning
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 …
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
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 …
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
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 …
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 …
are irregular heartbeats that indicate potential heart diseases. Clinically, long-term …