Constrained transformer network for ECG signal processing and arrhythmia classification
Background Heart disease diagnosis is a challenging task and it is important to explore useful information from the massive amount of electrocardiogram (ECG) records of patients. The high-precision diagnostic identification of ECG can save clinicians and
Chao Che+4 more
semanticscholar +1 more source
Effect of early administration of equine chorionic gonadotropin and prostaglandin F2α on reproductive performance of postpartum dairy cows [PDF]
The aim of this study was to evaluate the effect of eCG, PGF2α, and combination of eCG and PGF2α early postpartum on reproductive performance in high producing dairy cows. Three hundred sixty eight postpartal Holstein dairy cows were divided in 4 groups.
Masoud Imani+3 more
doaj +1 more source
International criteria for electrocardiographic interpretation in athletes: Consensus statement. [PDF]
Sudden cardiac death (SCD) is the leading cause of mortality in athletes during sport. A variety of mostly hereditary, structural or electrical cardiac disorders are associated with SCD in young athletes, the majority of which can be identified or ...
Aagaard+198 more
core +2 more sources
Cardiac evaluation of young athletes: Time for a risk-based approach? [PDF]
Pre-participation cardiovascular screening (PPCS) is recommended by several scientific and sporting organizations on the premise that early detection of cardiac disease provides a platform for individualized risk assessment and management; which has been
Drezner, JA, MacLachlan, H
core +1 more source
An Unusual ST Elevation in a Case of Left Atrial Myxoma [PDF]
Myxomas are the most common and potentially dangerous benign tumours of the heart. They may have either smooth or papillary surfaces and may have thrombus adherent.
Nikunj Vyas+4 more
doaj +1 more source
Debatable issues in automated ECG reporting [PDF]
Although automated ECG analysis has been available for many years, there are some aspects which require to be re-assessed with respect to their value while newer techniques which are worthy of review are beginning to find their way into routine use.
Abächerli, Roger+8 more
core +1 more source
ECG Cardiac arrhythmias Classification using DWT, ICA and MLP Neural Networks
Recognizing ECG cardiac arrhythmia automatically is an essential task for diagnosing the abnormalities of cardiac muscle. The proposal of few algorithms has been made for classifying the ECG cardiac arrhythmias, however the system of classification ...
M. Ramkumar+5 more
semanticscholar +1 more source
Effects of anxiolytic doses of ZnO nanoparticle on ECG parameters in restraint and non-restraint ovariectomized female rats [PDF]
Objective(s): Based on our previous studies about nano-ZnO effects on physiological behaviors, in this study we have investigated the effects of anxiolytic doses of nano-ZnO on electrocardiogram (ECG) sings changes in the restraint and non-restraint ...
Mahnaz Kesmati+4 more
doaj +1 more source
A new algorithm to diagnose atrial ectopic origin from multi lead ECG systems - insights from 3D virtual human atria and torso [PDF]
Rapid atrial arrhythmias such as atrial fibrillation (AF) predispose to ventricular arrhythmias, sudden cardiac death and stroke. Identifying the origin of atrial ectopic activity from the electrocardiogram (ECG) can help to diagnose the early onset of ...
Alday, Erick A. Perez+7 more
core +1 more source
In this paper, we present DREAMER, a multimodal database consisting of electroencephalogram (EEG) and electrocardiogram (ECG) signals recorded during affect elicitation by means of audio-visual stimuli.
Stamos Katsigiannis, N. Ramzan
semanticscholar +1 more source