Nature

Bimodal CNN for cardiovascular disease classification by co-training ECG grayscale images and scalograms

This study aimed to develop a bimodal convolutional neural network (CNN) by co-training grayscale images and scalograms of ECG for cardiovascular disease classification. The bimodal CNN model was ...
Nature

Classification of multi-lead ECG based on multiple scales and hierarchical feature convolutional neural networks

Cardiovascular disease (CVD) refers to conditions impacting the heart and blood vessels, resulting from a variety of factors, and stands as a prominent contributor to rising mortality rates on a ...
TCTMD

Machine Learning ‘Sniffs’ Out Long QT Otherwise Unseen on ECG

An asymptomatic male patient with definite LQTS with a normal ECG and QTc who was flagged by the AI. Photo Credit: J. Martijn Bos and Michael Ackerman. A new artificial intelligence (AI) solution ...