Explainable detection of myocardial infarction using deep learning models with Grad-CAM technique on ECG signals

• Main Authors: Jahmunah, V., Ng, Eddie Yin Kwee, Tan, Ru-San, Oh, Shu Lih, Acharya, U. Rajendra
• Other Authors: School of Mechanical and Aerospace Engineering
• Format: Article
• Language: English
• Published: 2022
• Subjects: Engineering::Mechanical engineering; Myocardial Infarction; Deep Learning
• Online Access: https://hdl.handle.net/10356/163633
• Institution: Nanyang Technological University

Myocardial infarction (MI) accounts for a high number of deaths globally. In acute MI, accurate electrocardiography (ECG) is important for timely diagnosis and intervention in the emergency setting. Machine learning is increasingly being explored for automated computer-aided ECG diagnosis of cardiov...