Results 21 to 30 of about 17,898 (192)

The changes of atrial complex on electrocardiogram in metabolic syndrome patients with cardiac arrhythmias

open access: yesКардиоваскулярная терапия и профилактика, 2016
Aim. To study the parameters of P wave in metabolic syndrome (MS) patients and to evaluate their relation with cardiac rhythm disorders development.Material and methods.
E. D. Dzhishambaev   +3 more
doaj   +1 more source

Neonatal supraventricular tachycardia

open access: yesIndian Pacing and Electrophysiology Journal, 2019
Supraventricular tachycardia (SVT) is one of the most common conditions requiring emergency cardiac care in neonates. Atrioventricular reentrant tachycardia utilizing an atrioventricular bypass tract is the most common form of SVT presenting in the ...
Chandra Srinivasan, Seshadri Balaji
doaj   +1 more source

Tachycardia-related cardiomyopathy: a review of the literature

open access: yesItalian Journal of Medicine, 2013
A fast heart rate or an irregular ventricular rhythm can produce various degrees of functional impairment and structural remodeling of the ventricle referred to as tachycardiarelated cardiomyopathy or tachycardiomyopathy.
Maurizio Ongari, Giuseppe Boriani
doaj   +1 more source

Is amiodarone a safe antiarrhythmic to use in supraventricular tachyarrhythmias after lung cancer surgery?

open access: yesBMC Surgery, 2004
Background Supraventricular arrhythmias after thoracotomy for pulmonary resections are well documented. There has been considerable interest in their incidence, nature, predictability from preoperative assessment and treatment.
Barbetakis Nikolaos   +1 more
doaj   +1 more source

Comparison of cardiovascular magnetic resonance characteristics and clinical prognosis in left ventricular noncompaction patients with and without arrhythmia

open access: yesBMC Cardiovascular Disorders, 2022
Background Left ventricular noncompaction (LVNC) is a rare type of cardiomyopathy, and one of its clinical manifestations is arrhythmia. Cardiovascular magnetic resonance (CMR) is valuable for the diagnosis and prognosis of LVNC.
Zi-qi Zhou   +7 more
doaj   +1 more source

Electrocardiographic Findings and In-Hospital Mortality of COVID-19 Patients; a Retrospective Cohort Study

open access: yesArchives of Academic Emergency Medicine, 2021
Background: Although current evidence points to the possible prognostic value of electrocardiographic (ECG) findings for in-hospital mortality of COVID-19 patients, most of these studies have been performed on a small sample size.
Mohammad Haji Aghajani   +8 more
doaj   +1 more source

The role of psychoemotional loads in the development of heart rhythm disorders

open access: yesСпортивная медицина: наука и практика, 2020
Objective: to determine the prevalence of cardiac arrhythmias in the structure of visits to the cardiologist. Materials and methods: within two years a doctor-cardiologist turned 4373 patients. 652 of them had arrhythmia (522 men and 130 women), that was
S. I. Getman   +2 more
doaj   +1 more source

Single-lead arrhythmia detection through machine learning: cross-sectional evaluation of a novel algorithm using real-world data

open access: yesOpen Heart, 2023
Background Computer-assisted interpretation of single-lead ECG is the preliminary method for clinicians to flag and further evaluate an arrhythmia of clinical importance for acutely ill patients. Critical scrutiny of novel detection algorithms is lacking,
David M Levine   +4 more
doaj   +1 more source

Cryoablation to improve catheter stability and ablation success in the right atrioventricular groove

open access: yesIndian Pacing and Electrophysiology Journal, 2021
Catheter instability can limit ablation success of arrhythmia substrates at the right atrioventricular groove. We describe cases where cryoablation improved catheter stability, enabling ablation success.
Kathryn Virk   +2 more
doaj   +1 more source

Synthetic Electrocardiogram Spectrogram Generation Using Generative Adversarial Network‐Based Models: A Comparative Study

open access: yesAdvanced Intelligent Systems, EarlyView.
Cardiovascular diseases are leading death causes; electrocardiogram (ECG) analysis is slow, motivating machine learning and deep learning. This study compares deep convolutional generative adversarial network, conditional GAN, and Wasserstein GAN with gradient penalty (WGAN‐GP) for synthetic ECG spectrograms; Fréchet Inception Distance (FID) and ...
Giovanny Barbosa‐Casanova   +3 more
wiley   +1 more source

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