Cardiovascular Digital Health Journal

Title Publication Date Language Citations
Patient Perspective: Digital tools give afib patients more control2021/06/01English4
Diagnosis and treatment of new heart failure with reduced ejection fraction by the artificial intelligence–enhanced electrocardiogram2021/10/01English4
Analysis and postprocessing of ECG or heart rate data from wearable devices beyond the proprietary cloud and app infrastructure of the vendors2021/12/01English4
Expanding telehealth through technology: Use of digital health technologies during pediatric electrophysiology telehealth visits2022/10/01English4
Machine learning of microvolt-level 12-lead electrocardiogram can help distinguish takotsubo syndrome and acute anterior myocardial infarction2022/08/01English4
Incidence, duration, pattern, and burden of de novo atrial arrhythmias detected by continuous ECG monitoring using an implantable loop recorder following ablation of the cavotricuspid isthmus2020/11/01English4
FEASIBILITY OF REMOTE MONITORING FOR FATAL CORONARY HEART DISEASE FROM SINGLE LEAD ECG2023/10/01English3
Machine learning predicting mortality in sarcoidosis patients admitted for acute heart failure2022/12/01English3
Digital health for primary prevention of cardiovascular disease: Promise to practice2020/09/01English3
Assessment of the atrial fibrillation burden in Holter electrocardiogram recordings using artificial intelligence2023/04/01English3
Deep learning to estimate cardiac magnetic resonance–derived left ventricular mass2021/04/01English3
Heart rate trajectories in patients recovering from acute myocardial infarction: A longitudinal analysis of Apple Watch heart rate recordings2021/10/01English3
Staff acceptability and patient usability of a self-screening kiosk for atrial fibrillation in general practice waiting rooms2022/10/01English3
Psychosocial measures in relation to smartwatch alerts for atrial fibrillation detection2022/10/01English3
DISTRIBUTION OF FALSE ARRHYTHMIC ALERTS FROM IMPLANTABLE LOOP RECORDERS IN THE PHILIPS GENEVA HEALTH SOLUTIONS IMPLANTABLE DEVICE REMOTE MONITORING DATABASE2022/08/01English3
Online health information seeking, low atrial fibrillation–related quality of life, and high perceived efficacy in patient-physician interactions in older adults with atrial fibrillation2022/06/01English3
A machine learning model in predicting hemodynamically significant coronary artery disease: A prospective cohort study2022/06/01English3
Diagnostic utility of artificial intelligence for left ventricular scar identification using cardiac magnetic resonance imaging—A systematic review2021/12/01English3
Deep learning on resting electrocardiogram to identify impaired heart rate recovery2022/08/01English2
A focus group study to inform design of a symptom management intervention for adults with atrial fibrillation2021/10/01English2
Physical activity, patient-reported symptoms, and clinical events: Insights into postprocedural recovery from personal digital devices2021/08/01English2
Accelerometer-assessed physical behavior and the association with clinical outcomes in implantable cardioverter-defibrillator recipients: A systematic review2022/02/01English2
Inside the “black box”: Embedding clinical knowledge in data-driven machine learning for heart disease diagnosis2022/12/01English2
Tandem deep learning and logistic regression models to optimize hypertrophic cardiomyopathy detection in routine clinical practice2022/12/01English2
Identifying barriers, facilitators, and interventions to support healthy eating in pregnant women with or at risk for hypertensive disorders of pregnancy2022/12/01English2
Artificial intelligence–enabled electrocardiogram to distinguish atrioventricular re-entrant tachycardia from atrioventricular nodal re-entrant tachycardia2023/04/01English2
Comparative analysis between convolutional neural network learned and engineered features: A case study on cardiac arrhythmia detection2020/07/01English2
Digital health innovation in cardiology2020/07/01English2
Rationale and design of the SafeHeart study: Development and testing of a mHealth tool for the prediction of arrhythmic events and implantable cardioverter-defibrillator therapy2021/12/01English2
Neural networks applied to 12-lead electrocardiograms predict body mass index, visceral adiposity and concurrent cardiometabolic ill-health2021/12/01English2