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Feb 2024 - Volume 16, Issue 1
Deadline: 15 Jan 2025
Publication: 20 Feb 2025
Dec 2024 - Volume 16, Issue 2
Deadline: 15 Mar 2024
Publication: 20 Apr 2024
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ABSTRACT
Title |
: |
PERFORMANCE ANALYSIS OF SOFT COMPUTING TECHNIQUES FOR CLASSIFYING CARDIAC ARRHYTHMIA |
Authors |
: |
R GANESH KUMAR, Dr. Y S KUMARASWAMY |
Keywords |
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Cardiac Arrhythmia, Discrete Cosine Transform (DCT), Electrocardiograms (ECG), RR Waves, Soft Computing. |
Issue Date |
: |
Dec 2013-Jan 2014 |
Abstract |
: |
Cardiovascular diseases kill more people than other diseases. Arrhythmia is a common term used for cardiac rhythm deviating from normal sinus rhythm. Many heart diseases are detected through electrocardiograms (ECG) analysis. Manual analysis of ECG is time consuming and error prone. Thus, an automated system for detecting arrhythmia in ECG signals gains importance. Features are extracted from time series ECG data with Discrete Cosine Transform (DCT) computing the distance between RR waves. The feature is the beat’s extracted RR interval. Frequency domain extracted features are classified using Classification and Regression Tree (CART), Radial Basis Function (RBF), Support Vector Machine (SVM) and Multilayer Perceptron Neural Network (MLP-NN). Experiments were conducted on the MIT-BIH arrhythmia database. |
Page(s) |
: |
459-465 |
ISSN |
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0976-5166 |
Source |
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Vol. 4, No.6 |
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