P wave parameters and indices: a critical appraisal of clinical utility, challenges, and future research—a consensus document endorsed by the International Society of …
LY Chen, ALP Ribeiro, PG Platonov… - Circulation …, 2022 - Am Heart Assoc
Atrial cardiomyopathy, characterized by abnormalities in atrial structure and function, is
associated with increased risk of adverse cardiovascular and neurocognitive outcomes …
associated with increased risk of adverse cardiovascular and neurocognitive outcomes …
How machine learning is impacting research in atrial fibrillation: implications for risk prediction and future management
There has been an exponential growth of artificial intelligence (AI) and machine learning
(ML) publications aimed at advancing our understanding of atrial fibrillation (AF), which has …
(ML) publications aimed at advancing our understanding of atrial fibrillation (AF), which has …
Multi‐modality machine learning approach for risk stratification in heart failure with left ventricular ejection fraction≤ 45%
Aims Heart failure (HF) involves complex remodelling leading to electrical and mechanical
dysfunction. We hypothesized that machine learning approaches incorporating data …
dysfunction. We hypothesized that machine learning approaches incorporating data …
Non-invasive and quantitative estimation of left atrial fibrosis based on P waves of the 12-Lead ECG—a large-scale computational study covering anatomical …
The arrhythmogenesis of atrial fibrillation is associated with the presence of fibrotic atrial
tissue. Not only fibrosis but also physiological anatomical variability of the atria and the …
tissue. Not only fibrosis but also physiological anatomical variability of the atria and the …
Long-term single-lead electrocardiogram monitoring to detect new-onset postoperative atrial fibrillation in patients after cardiac surgery
K He, W Liang, S Liu, L Bian, Y Xu, C Luo… - Frontiers in …, 2022 - frontiersin.org
Background Postoperative atrial fibrillation (POAF) is often associated with serious
complications. In this study, we collected long-term single-lead electrocardiograms (ECGs) …
complications. In this study, we collected long-term single-lead electrocardiograms (ECGs) …
Artificial intelligence for atrial fibrillation detection, prediction, and treatment: A systematic review of the last decade (2013–2023)
Atrial fibrillation (AF) affects more than 30 million individuals worldwide, making it the most
prevalent cardiac arrhythmia on a global scale. This systematic review summarizes recent …
prevalent cardiac arrhythmia on a global scale. This systematic review summarizes recent …
[HTML][HTML] Predicting stroke and mortality in mitral regurgitation: a machine learning approach
Introduction We hypothesized that an interpretable gradient boosting machine (GBM) model
considering comorbidities, P-wave and echocardiographic measurements, can better predict …
considering comorbidities, P-wave and echocardiographic measurements, can better predict …
Electrocardiographic predictors of atrial fibrillation
PA Chousou, R Chattopadhyay, V Tsampasian… - Medical …, 2023 - mdpi.com
Background: Atrial fibrillation (AF) is the most common pathological arrhythmia, and its
complications lead to significant morbidity and mortality. However, patients with AF can often …
complications lead to significant morbidity and mortality. However, patients with AF can often …
Automated electrocardiogram analysis identifies novel predictors of ventricular arrhythmias in Brugada syndrome
Background: Patients suffering from Brugada syndrome (BrS) are at an increased risk of life-
threatening ventricular arrhythmias. Whilst electrocardiographic (ECG) variables have been …
threatening ventricular arrhythmias. Whilst electrocardiographic (ECG) variables have been …
P‐wave durations from automated electrocardiogram analysis to predict atrial fibrillation and mortality in heart failure
Background P‐wave indices have been used to predict incident atrial fibrillation (AF), stroke,
and mortality. However, such indices derived from automated ECG measurements have not …
and mortality. However, such indices derived from automated ECG measurements have not …