This is a continuously updated repository that contents personal journey on researching ECG related topics.
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- Deep learning based algorithm for detecting aortic stenosis using electrocardiography (2020), Joon-Myoung Kwon et al. Journal of the American Heart Association. [link]
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An artificial intelligence-enabled ECG algorithm for the identification of patients with atrial fibrillation during sinus rhythm: a retrospective analysis of outcome prediction (2019), ZI Attia et al. The Lancet. [link]
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Large-Scale Assessment of a Smartwatch to Identify Atrial Fibrillation (2019), Perez, Marco V. et al. New England Journal of Medicine. [link]
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Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network (2019), Hannun, A.Y. et al. Nature medicine. [link]
- Precision Medicine and Artificial Intelligence: A Pilot Study on Deep Learning for Hypoglycemic Events Detection based on ECG (2020), Porumb, M et al. Sci Rep. [link]
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Artificial intelligence algorithm for screening heart failure with reduced ejection fraction using electrocardiography (2020), Jinwoo Cho et al. ASAIO. [link]
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Assessing and Mitigating Bias in Medical Artificial Intelligence: The Effects of Race and Ethnicity on a Deep Learning Model for ECG Analysis (2020), Noseworthy, Peter A., et al. Circulation: Arrhythmia and Electrophysiology. [link]
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ECG AI-Guided Screening for Low Ejection Fraction (EAGLE): Rationale and design of a pragmatic cluster randomized trial (2020), ZI Attia et al. American Heart Journal. [link]
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Prospective validation of a deep learning electrocardiogram algorithm for the detection of left ventricular systolic dysfunction (2019), ZI Attia et al. Journal of Cardiovascular Electrophysiology. [link]
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Screening for cardiac contractile dysfunction using an artificial intelligence–enabled electrocardiogram (2019), ZI Attia et al. Nature medicine. [link]
- Prediction of Abnormal Myocardial Relaxation From Signal Processed Surface ECG (2018), Partho P. Sengupta et al. J Am Coll Cardiol. [link]
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A Deep-Learning Algorithm (ECG12Net) for Detecting Hypokalemia and Hyperkalemia by Electrocardiography: Algorithm Development. (2020), Lin, Chin-Sheng, et al. JMIR Medical Informatics [link]
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Development and validation of a deep-learning model to screen for hyperkalemia from the electrocardiogram (2019), Galloway CD et al. JAMA Cardiol. [link]
- Detection of Hypertrophic Cardiomyopathy Using a Convolutional Neural Network-Enabled Electrocardiogram. (2020), Ko, Wei-Yin, et al. Journal of the American College of Cardiology. [link]
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A deep neural network electrocardiogram analysis framework for left ventricular hypertrophy prediction (2020), Wu, Jimmy Ming-Tai, et al. Journal of Ambient Intelligence and Humanized Computing [link]
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Comparing the performance of artificial intelligence and conventional diagnosis criteria for detecting left ventricular hypertrophy using electrocardiography (2019), Joon-Myoung Kwon et al. EP Europace.[link]
- Artificial intelligence for detecting mitral regurgitation using electrocardiography (2020), Joon-Myoung Kwon et al. Journal of Electrocardiology.[link]
- DIAGNOSIS OF ST-ELEVATED MYOCARDIAL INFARCTION BY ARTIFICIAL INTELLIGENCE WITH 12-LEAD ELECTROCARDIOGRAPH. THE ALERT-PILOT STUDY (2019), Zhang, Y et al. Journal of Hypertension. [link]
- Prediction of mortality from 12-lead electrocardiogram voltage data using a deep neural network. (2020), Raghunath, S. et al. Nat Med [link]
- Age and sex estimation using artificial intelligence from standard 12-lead ECGs (2019), ZI Attia et al. Circulation: Arrhythmia and Electrophysiology. [link]