Predicting Future Incidences of Cardiac Arrhythmias Using Discrete Heartbeats from Normal Sinus Rhythm ECG Signals via Deep Learning Methods [PDF]
This study aims to compare the effectiveness of using discrete heartbeats versus an entire 12-lead electrocardiogram (ECG) as the input for predicting future occurrences of arrhythmia and atrial fibrillation using deep learning models.
Yehyun Kim +7 more
doaj +3 more sources
A case of successful catheter ablation of blocked atrial bigeminy and bradycardia with the recovery of normal sinus rhythm and myocardial reverse remodeling [PDF]
A 69‐year‐old man presented bradycardia with a constant blocked atrial bigeminy and heart failure. Successful catheter ablation of blocked atrial bigeminy with bradycardia resulted in myocardial reverse remodeling and restoration of the normal sinus ...
Tomomi Sugiyama +5 more
doaj +4 more sources
Classification of atrial fibrillation and normal sinus rhythm based on convolutional neural network. [PDF]
Electrocardiogram (ECG) technology plays a vital role in detecting arrhythmia. Numerous achievements have been marked in ECG-related research. Most methods first pre-process ECG signals, then extract features, and finally classify them. Most of the ECG signals used in the related studies were analyzed in specific time intervals or using a fixed number ...
Huang ML, Wu YS.
europepmc +6 more sources
Artificial intelligence to diagnose paroxysmal supraventricular tachycardia using electrocardiography during normal sinus rhythm. [PDF]
Aims Paroxysmal supraventricular tachycardia (PSVT) is not detected owing to its paroxysmal nature, but it is associated with the risk of cardiovascular disease and worsens the patient quality of life.
Jo YY +11 more
europepmc +2 more sources
The complexity of clinically-normal sinus-rhythm ECGs is decreased in equine athletes with a diagnosis of paroxysmal atrial fibrillation. [PDF]
Equine athletes have a pattern of exercise which is analogous to human athletes and the cardiovascular risks in both species are similar. Both species have a propensity for atrial fibrillation (AF), which is challenging to detect by ECG analysis when in ...
Alexeenko V +5 more
europepmc +2 more sources
Predictors and timeline of spontaneous conversion to normal sinus rhythm: A single center retrospective cohort study of patients with symptomatic atrial fibrillation [PDF]
Introduction: Annual healthcare expenditures associated with atrial fibrillation (AF) in the United States (US) continue to grow as more symptomatic patients present to emergency departments (ED).
Shubash Adhikari +5 more
doaj +2 more sources
Atrial fibrillation (AF) is usually detected by inspection of the electrocardiogram waveform, a task made difficult when the signal is distorted by noise.
M. Carrara +7 more
semanticscholar +4 more sources
Conversion of supraventricular tachycardia to normal sinus rhythm by dexmedetomidine treatment [PDF]
Cardiac dysrhythmias are an important cause of morbidity and mortality in the perioperative period, and they are more common after thoracic surgery and are most often supraventricular in origin [1]. Dexmedetomidine, a highly selective α-2 adrenoceptor agonist, is increasingly being used in anesthesia and critical care because it not only produces ...
Cheol Lee +4 more
doaj +4 more sources
Spontaneous Normal Sinus Rhythm Conversion Using Integrative Medicine in Atrial Fibrillation [PDF]
The relationship between acute life stress and the development of atrial fibrillation (AF) has been noted in the literature. However, the use of integrative medicine (IM) in restoring cardiac rhythm has not been adequately studied. This case report describes how an IM approach was used in a patient with atrial fibrillation and acute pain.
Wendy S. Farrar +3 more
openalex +5 more sources
Detecting paroxysmal atrial fibrillation from normal sinus rhythm in equine athletes using Symmetric Projection Attractor Reconstruction and machine learning. [PDF]
Huang YH +7 more
europepmc +3 more sources

