Automated Detection of Myocardial Infarction Using a Gramian Angular Field and Principal Component Analysis Network

Automated Detection of Myocardial Infarction Using a Gramian Angular Field and Principal Component Analysis Network

Myocardial infarction (MI) is a deadly disease that threatens human life worldwide, and it is essential to save threatened lives with early detection of MI. The electrocardiogram (ECG), which records the electrical activity presented in the heart, is used for the prevention and treatment of heart di...

Full description

Bibliographic Details
Main Authors: Gong Zhang, Yujuan Si, Di Wang, Weiyi Yang, Yongjian Sun
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Electrocardiogram (ECG)
myocardial infarction
Gramian angular difference field
principal component analysis network
patient-specific
Online Access:https://ieeexplore.ieee.org/document/8911378/

Similar Items

Similar Items