Rheumatic Heart Disease Classification Using Adaptive Filters

Nanda Kishor Panda; M. Monica Subashini; Milind Kejriwal

doi:10.1051/matecconf/201822503006

Rheumatic Heart Disease Classification Using Adaptive Filters

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

^*Corresponding author for this work

Research output: Contribution to journal › Conference article › Scientific › peer-review

1 Citation (Scopus)

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 language	English
Article number	03006
Journal	MATEC Web of Conferences
Volume	225
DOIs	https://doi.org/10.1051/matecconf/201822503006
Publication status	Published - 2018
Externally published	Yes
Event	2018 UTP-UMP-VIT Symposium on Energy Systems, SES 2018 - Tamil Nadu, India Duration: 18 Sept 2018 → 19 Sept 2018

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10.1051/matecconf/201822503006

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title = "Rheumatic Heart Disease Classification Using Adaptive Filters",

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.",

author = "Panda, {Nanda Kishor} and Subashini, {M. Monica} and Milind Kejriwal",

year = "2018",

doi = "10.1051/matecconf/201822503006",

language = "English",

volume = "225",

journal = "MATEC Web of Conferences",

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note = "2018 UTP-UMP-VIT Symposium on Energy Systems, SES 2018 ; Conference date: 18-09-2018 Through 19-09-2018",

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T1 - Rheumatic Heart Disease Classification Using Adaptive Filters

AU - Panda, Nanda Kishor

AU - Subashini, M. Monica

AU - Kejriwal, Milind

PY - 2018

Y1 - 2018

N2 - 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.

AB - 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.

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U2 - 10.1051/matecconf/201822503006

DO - 10.1051/matecconf/201822503006

M3 - Conference article

AN - SCOPUS:85056768732

SN - 2261-236X

VL - 225

JO - MATEC Web of Conferences

JF - MATEC Web of Conferences

M1 - 03006

T2 - 2018 UTP-UMP-VIT Symposium on Energy Systems, SES 2018

Y2 - 18 September 2018 through 19 September 2018

ER -

Rheumatic Heart Disease Classification Using Adaptive Filters

Abstract

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