An Automated System for ECG Arrhythmia Detection Using Machine Learning Techniques

An Automated System for ECG Arrhythmia Detection Using Machine Learning Techniques

The new advances in multiple types of devices and machine learning models provide opportunities for practical automatic computer-aided diagnosis (CAD) systems for ECG classification methods to be practicable in an actual clinical environment. This imposes the requirements for the ECG arrhythmia clas...

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Bibliographic Details
Main Authors: Mohamed Sraitih, Younes Jabrane, Amir Hajjam El Hassani
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Journal of Clinical Medicine
Subjects:
electrocardiogram
ECG
classification
support vector machines (SVMs)
k-nearest neighbors (kNN)
Random Forest (RF)
Online Access:https://www.mdpi.com/2077-0383/10/22/5450

Internet

https://www.mdpi.com/2077-0383/10/22/5450

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