End-to-End Convolutional Neural Network Model to Detect and Localize Myocardial Infarction Using 12-Lead ECG Images without Preprocessing

End-to-End Convolutional Neural Network Model to Detect and Localize Myocardial Infarction Using 12-Lead ECG Images without Preprocessing

In recent years, many studies have proposed automatic detection and localization techniques for myocardial infarction (MI) using the 12-lead electrocardiogram (ECG). Most of them applied preprocessing to the ECG signals, e.g., noise removal, trend removal, beat segmentation, and feature selection, f...

Full description

Bibliographic Details
Main Authors: Ryunosuke Uchiyama, Yoshifumi Okada, Ryuya Kakizaki, Sekito Tomioka
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Bioengineering
Subjects:
myocardial infarction
electrocardiogram
12-lead ECG
convolutional neural network
Online Access:https://www.mdpi.com/2306-5354/9/9/430

Internet

https://www.mdpi.com/2306-5354/9/9/430

Similar Items