ML-ResNet: A novel network to detect and locate myocardial infarction using 12 leads ECG.
Journal:
Computer methods and programs in biomedicine
Published Date:
Oct 17, 2019
Abstract
BACKGROUND AND OBJECTIVE: Myocardial infarction (MI) is one of the most threatening cardiovascular diseases for human beings, which can be diagnosed by electrocardiogram (ECG). Automated detection methods based on ECG focus on extracting handcrafted features. However, limited by the performance of traditional methods and individual differences between patients, it's difficult for predesigned features to detect MI with high performance.