Medical Device and Diagnostic Industry (MD+DI)

AI-Powered Atrial Fibrillation Detection: How Machine Learning Is Transforming Cardiac Care Through ECG Analysis

At HRS 2026, Dr. Song Zuo presented evidence that AI can detect atrial fibrillation with over 90% sensitivity, ...
IEEE

Classification of Normal and Abnormal ECG signals using Support Vector Machine and Fourier Decomposition Method

Abstract: Automatic classification of abnormal electrocardiogram signals plays a vital role in developing robust unsupervised ECG analysis systems. This paper proposes a novel method for the automatic ...
The Daily Gazette

School district funding can't be an 'EKG chart': structural gaps spreading statewide

NEW YORK — It’s inevitable, Mohonasen Central School District Superintendent Shannon Shine said. “Almost all districts are about to have financial challenges, including Mohonasen. This will probably ...
IEEE

Classification of Abnormal and Normal ECG beat Based on Deep Learning Techniques

Abstract: Electrocardiogram signals are classified as abnormal or normal ECG signal. Both the MIT-BIH Arrhythmia (BIHA) Database and the MIT-BIH Noise Stress Test Database (NSTDB) are used for the ...