Results 121 to 130 of about 363,823 (338)
Advanced 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
Coupling of Smoothened to inhibitory G proteins reduces voltage-gated K [PDF]
, 2018 SMO (Smoothened), the central transducer of Hedgehog signaling, is coupled to heterotrimeric Gi proteins in many cell types, including cardiomyocytes.
Al-Owais, Moza +6 more
core +1 more source
Advanced Intelligent Systems, EarlyView.This paper presents an integrated AI‐driven cardiovascular platform unifying multimodal data, predictive analytics, and real‐time monitoring. It demonstrates how artificial intelligence—from deep learning to federated learning—enables early diagnosis, precision treatment, and personalized rehabilitation across the full disease lifecycle, promoting a ...
Mowei Kong +4 more
wiley +1 more source
Acute Exercise Challenge and Airway Dynamics in Youth With Sickle Cell Anemia: A Multicenter Study
American Journal of Hematology, EarlyView.Changes in airway dynamics in children with sickle cell anemia after maximal cardiopulmonary exercise testing and a controlled intensity interval excercise challenge. ABSTRACT Sickle cell anemia (SCA) leads to reduced physical functioning and cardiopulmonary fitness. Prior studies suggest that airway hyperresponsiveness to bronchoprovocation testing is
Robyn T. Cohen +9 more
wiley +1 more source
Number of arrhythmia beats determination in Holter electrocardiogram: how many clusters? [PDF]
, 2004 Daniel Novák +3 more
openalex +1 more source
Pacemaker Prevention Therapy in Drug–refractory Paroxysmal Atrial Fibrillation: Reliability of Diagnostics and Effectiveness of Prevention Pacing Therapy in Vitatron™ Selection® device [PDF]
, 2006 Introduction. Atrial fibrillation (AF), the most common and rising disorder of cardiac rhythm, is quite difficult to control and/or to treat. Non pharmacological therapies for AF may involve the use of dedicated pacing algorithms to detect and prevent ...
Dell’Orto, Simonetta +4 more
core +2 more sources
American Journal of Medical Genetics Part A, EarlyView.ABSTRACT Pathogenic variants in the SCN5A gene and its subunits have been identified in individuals with Brugada Syndrome. One such SCN5A variant, c.689T>C(p.Ile230Thr), was previously reported as disease‐causing only in homozygous individuals, with heterozygous carriers being unaffected.
Shayla Shojaat +2 more
wiley +1 more source
BMJ Open Sport & Exercise MedicineSudden cardiac death is a rare but socially devastating event, especially if occurs in young people. Usually, this unexpected lethal event occurs during or just after exercise. One of the leading causes of sudden cardiac death is inherited arrhythmogenic
Elena Arbelo +13 more
doaj +1 more source
Electrical storm after cardiac resynchronization therapy in a patient with nonischemic cardiomyopathy: Signal‐averaged vector‐projected 187‐channel electrocardiogram‐based risk stratification for lethal arrhythmia [PDF]
, 2013 Toshiko Nakai +11 more
openalex +1 more source
Automatic Mode Switching in Atrial Fibrillation [PDF]
, 2005 Automatic mode switching (AMS) algorithms were designed to prevent tracking of atrial tachyarrhythmias (ATA) or other rapidly occurring signals sensed by atrial channels, thereby reducing the adverse hemodynamic and symptomatic consequences of a rapid ...
Antonio De, Simone +2 more
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