Scientists hope the device can help give patients more warning ahead of seizures and prevent potential injuries ...

A unique AI-powered headset has been designed to predict epileptic seizures minutes before they occur by scientists.

A “unique” AI-powered headset that can predict epileptic seizures minutes before they occur has been developed by scientists ...

Milan High School has added a permanent new display honoring one of the community’s most accomplished graduates: David W.

Abstract: Cardiac digital twins (CDTs) are personalized virtual representations used to understand complex cardiac mechanisms. A critical component of CDT development is solving the ECG inverse ...

Abstract: Electrocardiography (ECG) signals play a pivotal role in many healthcare applications, especially in at-home monitoring of vital signs. Wearable technologies, which these applications often ...

Objectives To develop a tool including exercise electrocardiography (ExECG) for patient-specific clinical likelihood estimation of patients with suspected obstructive coronary artery disease (CAD).

This repository includes the code of the ECG-DualNet for ECG classification proposed in the paper Exploring Novel Algorithms for Atrial Fibrillation Detection by Driving Graduate Level Education in ...