Cardiac Arrhythmia Classification Using Advanced Deep Learning Techniques on Digitized ECG Datasets

Cardiac Arrhythmia Classification Using Advanced Deep Learning Techniques on Digitized ECG Datasets

ECG classification or heartbeat classification is an extremely valuable tool in cardiology. Deep learning-based techniques for the analysis of ECG signals assist human experts in the timely diagnosis of cardiac diseases and help save precious lives. This research aims at digitizing a dataset of imag...

Full description

Bibliographic Details
Main Authors: Shoaib Sattar, Rafia Mumtaz, Mamoon Qadir, Sadaf Mumtaz, Muhammad Ajmal Khan, Timo De Waele, Eli De Poorter, Ingrid Moerman, Adnan Shahid
Format: Article
Language:English
Published: MDPI AG 2024-04-01
Series:Sensors
Subjects:
ECG classification
deep learning
digitization
arrhythmia
self-supervised learning
Online Access:https://www.mdpi.com/1424-8220/24/8/2484

Internet

https://www.mdpi.com/1424-8220/24/8/2484

Similar Items