Comparative Analysis of Machine Learning Techniques for Arrhythmia Detection

Comparative Analysis of Machine Learning Techniques for Arrhythmia Detection

Cardiovascular arrhythmia is indeed one of the most prevalent cardiac issues globally. In this paper, the primary objective was to develop and evaluate an automated classification system. This system utilizes a comprehensive database of electro- cardiogram (ECG) data, with a particular focus on impr...

Full description

Bibliographic Details
Main Authors: Biswapriyo Sen, Maharishi Kashyap, Jitendra Singh Tamang, Sital Sharma, Rijhi Dey
Format: Article
Language:English
Published: Iran University of Science and Technology 2024-06-01
Series:Iranian Journal of Electrical and Electronic Engineering
Subjects:
arrhythmia
electrocardiography (ecg)
machine learning
support vector machine (svm)
logistic regression (lg)
random forest (rf).
Online Access:http://ijeee.iust.ac.ir/article-1-3235-en.pdf

Internet

http://ijeee.iust.ac.ir/article-1-3235-en.pdf

Similar Items