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A Survey on various Machine Learning Approaches for ECG Analysis

by C. K. Roopa, B. S. Harish
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 163 - Number 9
Year of Publication: 2017
Authors: C. K. Roopa, B. S. Harish
10.5120/ijca2017913737

C. K. Roopa, B. S. Harish . A Survey on various Machine Learning Approaches for ECG Analysis. International Journal of Computer Applications. 163, 9 ( Apr 2017), 25-33. DOI=10.5120/ijca2017913737

@article{ 10.5120/ijca2017913737,
author = { C. K. Roopa, B. S. Harish },
title = { A Survey on various Machine Learning Approaches for ECG Analysis },
journal = { International Journal of Computer Applications },
issue_date = { Apr 2017 },
volume = { 163 },
number = { 9 },
month = { Apr },
year = { 2017 },
issn = { 0975-8887 },
pages = { 25-33 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume163/number9/27425-2017913737/ },
doi = { 10.5120/ijca2017913737 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:09:45.817462+05:30
%A C. K. Roopa
%A B. S. Harish
%T A Survey on various Machine Learning Approaches for ECG Analysis
%J International Journal of Computer Applications
%@ 0975-8887
%V 163
%N 9
%P 25-33
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Electrocardiogram (ECG) is a P, QRS and T wave demonstrating the electrical activity of the heart. Feature extraction and segmentation in ECG plays a significant role in diagnosing most of the cardiac disease. The main objective of this paper is to review the various machine learning approaches for diagnosing Myocardial Infarction (heart attack), differentiate Arrhythmias (heart beat variation), Hypertrophy (increase thickness of the heart muscle) and Enlargement of Heart. Further, we also present various machine learning approaches and compare different methods and results used to analyze the ECG. The existing methods are compared and contrasted based on qualitative and qualitative parameters viz., purpose of the work, algorithms adopted and results obtained.

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Index Terms

Computer Science
Information Sciences

Keywords

Heart Disease ECG Analysis Feature Extraction Segmentation.

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