Heartbeat Classification by Random Forest With a Novel Context Feature: A Segment Label

Heartbeat Classification by Random Forest With a Novel Context Feature: A Segment Label

Objective: Physicians use electrocardiograms (ECG) to diagnose cardiac abnormalities. Sometimes they need to take a deeper look at abnormal heartbeats to diagnose the patients more precisely. The objective of this research is to design a more accurate heartbeat classification algorithm to assist phy...

Full description

Bibliographic Details
Main Authors: Congyu Zou, Alexander Muller, Utschick Wolfgang, Daniel Ruckert, Phillip Muller, Matthias Becker, Alexander Steger, Eimo Martens
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Journal of Translational Engineering in Health and Medicine
Subjects:
Convolutional neural network
ECG classification
heartbeat classification
machine learning
mutual information random forest
Online Access:https://ieeexplore.ieee.org/document/9869872/

Internet

https://ieeexplore.ieee.org/document/9869872/

Similar Items