IEEE

Determination of the most significant features for hyperglycemia detection and their extraction from electrocardiogram signal

Abstract: Hyperglycemia, characterized by elevated blood glucose levels, is prevalent among diabetic patients and poses risks of severe complications if left unmanaged. This study investigates the ...
Science Daily

Breakthrough optical processor lets AI compute at the speed of light

Researchers at Tsinghua University developed the Optical Feature Extraction Engine (OFE2), an optical engine that processes data at 12.5 GHz using light rather than electricity. Its integrated ...
IEEE

Dual-Input Neural Network Integrating Feature Extraction and Deep Learning for Coronary Artery Disease Detection Using Electrocardiogram and Phonocardiogram

Abstract: Electrocardiogram (ECG) and phonocardiogram (PCG) signals reflect the electrical and mechanical activities of the heart, respectively. Although studies have documented that some ...
Medical Xpress

AI-electrocardiogram model developed to diagnose liver disease earlier

As rates of obesity, high blood pressure, type 2 diabetes and sleep apnea increase, cases of advanced chronic liver disease and resulting liver scarring or cirrhosis also are rising. Patients are ...