ahajournals.org

Abstract 4370718: Transformer-based ECG beat foundation model reconstructs full 12-Lead morphology, vectorcardiogram and predicts peak heart rate in stress ECG

Background: Regular monitoring of performance in ECG stress tests can enable early detection of subtle conduction/morphological changes and enable more accurate risk stratification. However, repeated ...
Business Wire

HeartBeam’s Artificial Intelligence Algorithm Combined with Vectorcardiography (VCG) Outperforms Expert Cardiologists in Detecting Arrhythmias

SANTA CLARA, Calif.--(BUSINESS WIRE)--HeartBeam, Inc. (NASDAQ: BEAT), a medical technology company focused on transforming cardiac care through the power of personalized insights, today announced new ...
scienceopen.com

Multichannel Multiscale Two-Stage Convolutional Neural Network for the Detection and Localization of Myocardial Infarction Using Vectorcardiogram Signal

Myocardial infarction (MI) occurs due to the decrease in the blood flow into one part of the heart, and it further causes damage to the heart muscle. The 12-channel electrocardiogram (ECG) has been ...
IEEE

Using the vectorcardiogram to remove ECG noise

Abstract: Electrocardiograms (ECGs) are prone to significant noise, including breathing and motion artifacts. Generally, for redundant lead systems, the noise is often correlated between leads. Using ...
IEEE

Comparison of different methods for the derivation of the vectorcardiogram from the ECG and morphology descriptors

Abstract: Several methods have been proposed for both the derivation of the vectorcardiogram from the 12-lead ECG and the quantification of the morphology of ...