Becker's Hospital Review

U of Michigan AI detects heart disease from EKG

Michigan detects heart disease using an AI model that analyzes standard EKGs to identify coronary microvascular dysfunction noninvasively.

HeartBeam (NASDAQ: BEAT) Secures FDA 510(k) Clearance for 12-Lead ECG Synthesis Software Following Successful Appeal

HeartBeam (NASDAQ: BEAT), a medical technology company focused on transforming cardiac care through personalized insights, received FDA 510(k) clearance for its 12-lead ECG synthesis software for ...

HeartBeam (BEAT) Secures FDA 510(k) Clearance for 12-Lead ECG Synthesis Software Following Successful Appeal

HeartBeam (NASDAQ: BEAT), a medical technology company focused on transforming cardiac care through personalized insights, ...
IEEE

Atrial Fibrillation Detection Algorithm Based on Graph Convolution Network

Abstract: Atrial fibrillation (AF) is a common type of arrhythmia with a high incidence and risk, and it is difficult to monitor. Deep learning-based algorithms for AF detection have made preliminary ...
IEEE

Attention-Based Convolutional Denoising Autoencoder for Two-Lead ECG Denoising and Arrhythmia Classification

This article presents a fast and accurate electrocardiogram (ECG) denoising and classification method for low-quality ECG signals. To achieve this, a novel attention-based convolutional denoising ...