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A simplified model for predicting ventricular hypertrophy than traditional methods
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
Publication history:
Received on 08 May 2024; revised on 16 June 2024; accepted on 19 June 2024
Abstract:
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.
Keywords:
Hypertrophy; LVH; ECG; Physio-net; RVH; MATLAB
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Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0
