Results 1 to 10 of about 166,969 (144)

Predicting Future Incidences of Cardiac Arrhythmias Using Discrete Heartbeats from Normal Sinus Rhythm ECG Signals via Deep Learning Methods [PDF]

Diagnostics, 2023
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, Myeonggyu Lee, Jaeung Yoon, Yeji Kim, Hyunseok Min, Hyungjoo Cho, Junbeom Park, Taeyoung Shin   +7 more
doaj   +3 more sources

Detecting paroxysmal atrial fibrillation from normal sinus rhythm in equine athletes using Symmetric Projection Attractor Reconstruction and machine learning [PDF]

Cardiovascular Digital Health Journal, 2022
Background Atrial fibrillation (AF) is a common cardiac arrhythmia in both human and equine populations. It is associated with adverse outcomes in humans and decreased athletic performance in both populations.
Manasi Nandi, , Celia Marr
exaly   +3 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]

Indian Pacing and Electrophysiology Journal, 2023
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).
Suzanne Kemper, Shubash Adhikari, Elaine Davis   +2 more
exaly   +4 more sources

Artificial intelligence to diagnose paroxysmal supraventricular tachycardia using electrocardiography during normal sinus rhythm. [PDF]

Eur Heart J Digit Health, 2021
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, Kwon JM, Jeon KH, Cho YH, Shin JH, Lee YJ, Jung MS, Ban JH, Kim KH, Lee SY, Park J, Oh BH.   +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]

Sci Rep, 2020
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, Fraser JA, Bowen M, Huang CL, Marr CM, Jeevaratnam K.   +5 more
europepmc   +2 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]

Clinical Case Reports, 2022
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, Yoshiaki Mizutani, Satoshi Yanagisawa, Masaaki Kanashiro, Yasuya Inden, Toyoaki Murohara   +5 more
doaj   +2 more sources

Identification of Atrial Fibrillation With Single-Lead Mobile ECG During Normal Sinus Rhythm Using Deep Learning. [PDF]

J Korean Med Sci
Background The acquisition of single-lead electrocardiogram (ECG) from mobile devices offers a more practical approach to arrhythmia detection. Using artificial intelligence for atrial fibrillation (AF) identification enhances screening efficiency ...
Kim J, Lee SJ, Ko B, Lee M, Lee YS, Lee KH.   +5 more
europepmc   +2 more sources

Comparison of time-domain, frequency-domain and non-linear analysis for distinguishing congestive heart failure patients from normal sinus rhythm subjects

Biomedical Signal Processing and Control, 2018
It is known that patients with congestive heart failure have reduced ability to modulate heart rate in comparison with normal subjects. However, the characteristics of these changes is not well understood.
Shoushui Wei, Chengyu Liu, Yatao Zhang   +2 more
exaly   +2 more sources

Sinus node exit, crista terminalis conduction, interatrial connection, and wavefront collision: Key features of human atrial activation in sinus rhythm

Heart Rhythm, 2022
BACKGROUND An understanding of normal atrial activation during sinus rhythm can inform catheter ablation strategies to avoid deleterious impacts of ablation lesions on atrial conduction and mechanics.
, , Ciro Ascione
exaly   +2 more sources

Classification of atrial fibrillation and normal sinus rhythm based on convolutional neural network. [PDF]

Biomed Eng Lett, 2020
Huang ML, Wu YS.
europepmc   +2 more sources