Rheumatic Heart Disease Classification Using Adaptive Filters

Nanda Kishor Panda, M. Monica Subashini*, Milind Kejriwal

*Corresponding author for this work

Research output: Contribution to journalConference articleScientificpeer-review

Abstract

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.

Original languageEnglish
Article number03006
JournalMATEC Web of Conferences
Volume225
DOIs
Publication statusPublished - 2018
Externally publishedYes
Event2018 UTP-UMP-VIT Symposium on Energy Systems, SES 2018 - Tamil Nadu, India
Duration: 18 Sep 201819 Sep 2018

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