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The Danish Nationwide Electrocardiogram (ECG) Cohort
The electrocardiogram (ECG) is a non-invasive diagnostic tool holding significant clinical importance in the diagnosis and risk stratification of...
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Electrocardiogram alterations in non-traumatic brain injury: a systematic review
The presence of abnormal electrocardiograms in individuals without known organic heart disease is one of the most common manifestations of cardiac...
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A patient with acute myocardial infarction with electrocardiogram Aslanger’s pattern
BackgroundAslanger’s pattern in electrocardiogram (ECG) indicates that patients may have acute inferior myocardial infarction(AMI) with concomitant...
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The Association Between Urbanization and Electrocardiogram Abnormalities in China: a Nationwide Longitudinal Study
The health effects of urbanization are controversial. The association between urbanization and reversible subclinical risks of cardiovascular...
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Early prediction of sudden cardiac death risk with Nested LSTM based on electrocardiogram sequential features
Electrocardiogram (ECG) signals are very important for heart disease diagnosis. In this paper, a novel early prediction method based on Nested Long...
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An interesting electrocardiogram caused by lead reversal
BackgroundDuring normal sinus rhythm, atrial depolarization is conducted from right atrium to left atrium through Bachmann’s bundle, and a normal P...
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Effectiveness and safety of intracardiac electrocardiogram guidance for epicutaneo-cava catheters via the lower extremity in preterm infants: a retrospective study
IntroductionIn recent years, intracardiac electrocardiogram (IC-ECG) technology has been widely used for epicutaneo-cava catheter (ECC) placement and...
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A deep learning-based electrocardiogram risk score for long term cardiovascular death and disease
The electrocardiogram (ECG) is the most frequently performed cardiovascular diagnostic test, but it is unclear how much information resting ECGs...
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Comparison of AliveCor KardiaMobile Six-Lead ECG with Standard ECG in Pediatric Patients
The AliveCor KardiaMobile (ACKM) is a remote electrocardiogram (ECG) monitoring device. Little research has been conducted on its accuracy with...
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Electrocardiogram-based deep learning algorithm for the screening of obstructive coronary artery disease
BackgroundInformation on electrocardiogram (ECG) has not been quantified in obstructive coronary artery disease (ObCAD), despite the deep learning...
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Artificial intelligence-enabled ECG for left ventricular diastolic function and filling pressure
Assessment of left ventricular diastolic function plays a major role in the diagnosis and prognosis of cardiac diseases, including heart failure with...
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Assessment of QT Interval Abnormalities on Electrocardiogram in Children With Breath-Holding Spells
ObjectiveTo assess QT interval abnormalities among children with breath-holding spells.
MethodsThis case control study included 204 children (104...
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Next Generation ECG: The Impact of Artificial Intelligence and Machine Learning
Purpose of ReviewDevelopment of artificial intelligence (AI) models, particularly the application of machine learning (ML) and deep learning (DL)...
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Efficient Edge-AI Models for Robust ECG Abnormality Detection on Resource-Constrained Hardware
This study introduces two models, ConvLSTM2D-liquid time-constant network (CLTC) and ConvLSTM2D-closed-form continuous-time neural network (CCfC),...
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pECGreview: Assessment of a Novel Tool to Evaluate the Accuracy of Pediatric ECG Interpretation Skills
The skill of interpretation of the electrocardiogram (ECG) remains poor despite existing educational initiatives. We sought to evaluate the validity...
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Validation of smartwatch electrocardiogram intervals in children compared to standard 12 lead electrocardiograms
Lay people are now able to obtain one-lead electrocardiograms (ECG) using smartwatches, which facilitates documentation of arrhythmias. The accuracy...
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Pediatric Electrocardiogram-Based Deep Learning to Predict Secundum Atrial Septal Defects
Secundum atrial septal defect (ASD2) detection is often delayed, with the potential for late diagnosis complications. Recent work demonstrated...
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Utility of an Artificial Intelligence Enabled Electrocardiogram for Risk Assessment in Liver Transplant Candidates
BackgroundPost-operative cardiac complications occur infrequently but contribute to mortality after liver transplantation (LT). Artificial...
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Usability of simplified audiometry and electrocardiogram during treatment of drug-resistant tuberculosis in Mozambique: a qualitative study
BackgroundIn 2021, there were approximately 450,000 cases of drug-resistant tuberculosis (DR-TB) worldwide. The treatment of DR-TB historically...
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The Athlete’s ECG: The Potential Utility in Screening and Prevention of Sudden Cardiac Death
Purpose of ReviewThe purpose of the review is to discuss the role of the electrocardiogram (ECG) in screening and diagnostic evaluation for the young...
