Artificial intelligence (AI)-based echocardiogram (ECG) analysis significantly improved STEMI detection, reduced false activations and enhanced recognition of nonconventional presentations, according ...

Model exhibited robust performance across diverse population, with AUC of 0.80 in internal testing. HealthDay News — Artificial intelligence (AI) electrocardiogram (ECG) data are promising for early ...

A desktop application for visualizing multi-channel biological signals (ECG, EMG, EEG). Built with PyQt5, it supports reading from CSV/MAT files, real-time playback simulation, and interactive signal ...

Authors: Monica Kraft, MD, Health System Chair of the Department of Medicine; Girish N. Nadkarni, MD, MPH, CPH, Chief AI Officer and Chair of the Department of Artificial Intelligence and Human Health ...

Abstract: This paper presents a novel approach for analyzing ECG signals using the Whale Optimization Algorithm (WOA) combined with Chaos Theory. The analysis of electrocardiogram (ECG) signals plays ...

Nahda Nabiilah is a writer and editor from Indonesia. She has always loved writing and playing games, so one day she decided to combine the two. Most of the time, writing gaming guides is a blast for ...

ECG-FM is a foundation model for electrocardiogram (ECG) analysis. Committed to open-source practices, ECG-FM was developed in collaboration with the fairseq_signals framework, which implements a ...