Evaluation of respiratory properties by means of fractional order models

I Assadi, A Charef, D Copot, R De Keyser… - … Signal Processing and …, 2017 - Elsevier
The goal of this paper is to model and analyze the properties of the respiratory system by
means of fractional calculus. A linear fractional order system of commensurate order is …

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) …

An automatic premature ventricular contraction recognition system based on imbalanced dataset and pre-trained residual network using transfer learning on ECG …

H Ullah, MBB Heyat, F Akhtar, AY Muaad… - Diagnostics, 2022 - mdpi.com
The development of automatic monitoring and diagnosis systems for cardiac patients over
the internet has been facilitated by recent advancements in wearable sensor devices from …

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 …

ECG beat classification using a cost sensitive classifier

Z Zidelmal, A Amirou, D Ould-Abdeslam… - Computer methods and …, 2013 - Elsevier
In this paper, we introduce a new system for ECG beat classification using Support Vector
Machines (SVMs) classifier with rejection. After ECG preprocessing, the QRS complexes are …

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 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 …

Design of a wearable 12-lead noncontact electrocardiogram monitoring system

CC Hsu, BS Lin, KY He, BS Lin - Sensors, 2019 - mdpi.com
A standard 12-lead electrocardiogram (ECG) is an important tool in the diagnosis of heart
diseases. Here, Ag/AgCl electrodes with conductive gels are usually used in a 12-lead ECG …

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 …

Hybridations d'algorithmes métaheuristiques en optimisation globale et leurs applications

H Hachimi - 2013 - theses.hal.science
L'optimisation des structures est un processus essentiel dans la conception des systèmes
mécaniques et électroniques. Cette thèse s' intéresse à la résolution des problèmes mono …