Evidence-based machine learning algorithms

Clinical Validation of a Chest-Worn Personal ECG Device for the Detection of Atrial Fibrillation

Circulation, Supplement 1, 2024

Reducing the burden of inconclusive smart device single-lead ECG tracings via a novel artificial intelligence algorithm

Cardiovascular Digital Health Journal, 2024

Precordial electrocardiographic recording and QT measurement from a novel wearable ring device

Cardiovascular Digital Health Journal 2024

Identifying Noisy ECG Signals in Large Datasets Using a Temporal Convolutional Neural Network Trained to Estimate Pseudo-SNR

Computing in Cardiology Conference, 2023

Comparison of reduced lead sets in detection of common ECG abnormalities

Journal of Electrocardiology, 2023

Reducing the burden of inconclusive smart device single-lead ECG tracings via a novel artificial intelligence algorithm

European Society of Cardiology Congress 2023

Novel AI algorithm improves the automated detection of Atrial Arrhythmias from the Apple Watch

Heart Rhythm 2023

AI-Enabled ECG Combined with Dry Electrode Sensors for Population-Based Screening of Atrial Fibrillation

Computing in Cardiology Conference, 2022

Automated Identification of Label Errors in Large Electrocardiogram Datasets

Computing in Cardiology Conference, 2022

Automated Measurement of the Heart-Rate Corrected QT-Interval using Deep Learning.

46th International Society of Computerized Electrocardiology Conference 2022

Device agnostic AI-based analysis of ambulatory ECG recordings

Journal of Electrocardiology, 2022

A two-staged classifier to reduce false positives: On device detection of atrial fibrillation using phase-based distribution of poincaré plots and deep learning.

Journal of Electrocardiology, 2022