IEEE

Intelligent Human Gait Phase Classification Using Machine Learning Models

Abstract: Advancements in machine learning (ML) have facilitated the prediction of key aspects of human locomotion, particularly in identifying subject gait trajectories essential for recognizing ...
Healio

COPD detected early with AI-powered electrocardiogram interpretation

An AI-powered model that analyzes electrocardiograms was able to accurately detect COPD early in internal testing and ...

AI model detects prediabetes using ECG data without need for blood tests

DiaCardia, a novel artificial intelligence model that can accurately identify individuals with prediabetes using either ...
Frontiers

Exploring the Feasibility of Real-Time On-Device ECG Biometric Classification Using Quantized Neural Networks

1 Faculty of Electrical Engineering and Informatics, Slovak University of Technology in Bratislava, Bratislava, Slovakia 2 International Laser Centre, Ilkovicova 3,841 04, Bratislava 4, Slovak ...
IEEE

Stress Classification from ECG Signals Using Vision Transformer

Abstract: Vision Transformers have shown tremendous success in numerous computer vision applications; however, they have not been exploited for stress assessment using physiological signals such as ...