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ISSN Approved Journal || eISSN: 2582-8185 || CODEN: IJSRO2 || Impact Factor 8.2 || Google Scholar and CrossRef Indexed

Peer Reviewed and Referred Journal || Free Certificate of Publication

Research and review articles are invited for publication in March 2026 (Volume 18, Issue 3) Submit manuscript

A simplified model for predicting ventricular hypertrophy than traditional methods

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  • A simplified model for predicting ventricular hypertrophy than traditional methods

Aditya Santra, Shuvangi Shaw and Tarak Das *

Department of Biomedical Engineering, Netaji Subhash Engineering College, Kolkata, India.

Research Article
 
International Journal of Science and Research Archive, 2024, 12(01), 2636–2642.
Article DOI: 10.30574/ijsra.2024.12.1.1112
DOI url: https://doi.org/10.30574/ijsra.2024.12.1.1112

Received on 08 May 2024; revised on 16 June 2024; accepted on 19 June 2024

Ventricular hypertrophy is the thickening of the muscles in the ventricular chambers of the heart which stiffens and thickens the cardiac walls giving rise to many complications like arrhythmia, high blood pressure, or even heart failure. One of the ways to diagnose ventricular hypertrophy is through an Echocardiogram which can be predicted by the positive large amplitude of Chest Leads [V4–V6] of an Electrocardiogram (ECG). But chest lead application is one of the complicated more parts of the ECG than limb lead. Here we have tried to predict ventricular hypertrophy with bipolar limb lead electrocardiogram [L-I, L-II & L-III] without any chest leads which can be easily designed to make an ECG prototype instead of any sophisticated instruments to increase its global accessibility even in remote areas for the prediction of ventricular hypertrophy even may be for other diagnosis in future. We acquired electrocardiogram data sets from the physio-net database, specifically collected data from both normal and hypertrophic patients in an institute. These data sets were obtained using the same recording device. The Lead-I of the RVH and normal patients were not satisfactorily distinguishable. However, in this work, it has been established that Lead-I can be used to predict for identification of LVH patients.

Hypertrophy; LVH; ECG; Physio-net; RVH; MATLAB

https://ijsra.net/sites/default/files/fulltext_pdf/IJSRA-2024-1112.pdf

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Aditya Santra, Shuvangi Shaw and Tarak Das. A simplified model for predicting ventricular hypertrophy than traditional methods. International Journal of Science and Research Archive, 2024, 12(01), 2636–2642. Article DOI: https://doi.org/10.30574/ijsra.2024.12.1.1112

Copyright © Author(s). All rights reserved. This article is published under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits use, sharing, adaptation, distribution, and reproduction in any medium or format, as long as appropriate credit is given to the original author(s) and source, a link to the license is provided, and any changes made are indicated.


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