MATEC Web Conf.
Volume 225, 2018UTP-UMP-VIT Symposium on Energy Systems 2018 (SES 2018)
|Number of page(s)
|Energy Management and Conservation
|05 November 2018
Rheumatic Heart Disease Classification Using Adaptive Filters
Student member, IEEE
2 School of Electrical Engineering, Vellore Institute of Technology, Vellore
3 School of Electronics Engineering, Vellore Institute of Technology, Vellore
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An efficient and innovative method has been proposed in this paper to detect heart murmurs as a method to identify rheumatic fever with the use of adaptive filters, transform techniques and Neural Network Algorithms by considering various parameters such as number of peaks, Signal to Noise Ratio (SNR) and Power Spectral Density. Under optimum conditions the classification returned exact outputs even when the neural network was trained under false positive data thus showing its effectiveness.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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