Deep learning techniques have transformed electrocardiogram (ECG) analysis through automatic feature learning and robust classification. End-to-end neural networks, particularly convolutional and ...

Heart disease remains the leading cause of death worldwide, and although electrocardiography (ECG) is critical for diagnosis, interpreting ECG signals requires extensive training. Current machine ...

Modern materials science and fabrication techniques are enabling diverse avenues for innovation in the area of medical sensors that go beyond established basics. A multidisciplinary team based at the ...

An abnormal EKG result can be a shock to the system. Dr. Samir Saba, co-director of the UPMC Heart and Vascular Institute and chief of the Division of Cardiology at the University of Pittsburgh School ...