Clinical Information

Prediction of coronary artery calciumscoring fromsurface electrocardiogram in atherosclerotic cardiovascular disease: a pilot study (ESC) – November 23, 2020


Journal Article: Machine Learning Assessment of Left Ventricular Diastolic Function Based on Electrocardiographic Features (JACC) – Vol. 76 No. 8, – August 2020


Digital Phenotyping of Myocardial Dysfunction With 12-Lead ECG Tiptoeing Into the Future With Machine Learning* (JACC Editorial) – Vol. 76, No. 8, – August 2020


Poster: Screening for Cardiac Relaxation Abnormalities Using Surface ECG Wavelets for Identifying High-Risk Cardiac Phenotypic Abnormalities ESC 2019


Poster: Machine learning applied to energy waveform ECG for prediction of subclinical myocardial dysfunction ESC 2019


Journal Article: Prediction of Abnormal Myocardial Relaxation from Signal Processed Surface ECG Vol. 71 No. 15 – April 2018


Journal Article: Machine Learning for Electrocardiographic Diagnosis of Left Ventricular Early Diastolic Dysfunction (JACC Editorial) April 17, 2018


Poster: Machine Learning Enabled ECG Wavelet Analysis as a Gatekeeper for Appropriate Evaluation of Diastolic Function by Echocardiography ASE 2017


Poster: Prediction of Cardiac Mechanical Relaxation Abnormalities from Surface ECG Wavelets ASE 2017


Audio Dr. Fuster JACC: Prediction of Abnormal Myocardial Relaxation from Signal Processed Surface ECG