Identification of phonocardiogram signal based on STFT and Marquart Lavenberg Backpropagation

Irmalia Suryani Faradisa; Dimas Okky Anggriawan; Tri Arief Sardjono; Mauridhi Heri Purnomo

doi:10.1109/ISITIA.2016.7828628

Identification of phonocardiogram signal based on STFT and Marquart Lavenberg Backpropagation

Irmalia Suryani Faradisa
, Dimas Okky Anggriawan
, Tri Arief Sardjono
, Mauridhi Heri Purnomo

Institut Teknologi Sepuluh Nopember
National Institute of Technology, Malang
Electronic Engineering Polytechnic Institute of Surabaya

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

7 Citations (Scopus)

Abstract

Auscultation is one of method that has been used by doctor in the process to identify heart disease. But with only using auscultation is not possible to obtain quantitative data, because relating to the skills, experience and subjectivity doctor, for it to be made a program that can help doctors to identify heart abnormalities. Short Time Fourier Transform is used to analyze the frequency and timing of the patterns of normal and abnormal heart sounds. With the method of Levenberg Marquardt Back propagation expected 10 class heart sound can be identified with a good. The results showed that the accuracy will be higher when the number of neurons increased. When neurons 25 produce more accurate results with accuracy percentage is higher and more stable for each class. Where the highest accuracy is on the holo diastolic murmur class and the Normal Heart class with accuracy up to 99,9999%.

Original language	English
Title of host publication	Proceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016
Subtitle of host publication	Recent Trends in Intelligent Computational Technologies for Sustainable Energy
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	25-30
Number of pages	6
ISBN (Electronic)	9781509017096
DOIs	https://doi.org/10.1109/ISITIA.2016.7828628
Publication status	Published - 20 Jan 2017
Event	2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016 - Lombok, Indonesia Duration: 28 Jul 2016 → 30 Jul 2016

Publication series

Name	Proceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016: Recent Trends in Intelligent Computational Technologies for Sustainable Energy

Conference

Conference	2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016
Country/Territory	Indonesia
City	Lombok
Period	28/07/16 → 30/07/16

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Marquart Lavenberg Backpropagation
STFT
phonocardiography

Access to Document

10.1109/ISITIA.2016.7828628

Cite this

Faradisa, I. S., Anggriawan, D. O., Sardjono, T. A., & Purnomo, M. H. (2017). Identification of phonocardiogram signal based on STFT and Marquart Lavenberg Backpropagation. In Proceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016: Recent Trends in Intelligent Computational Technologies for Sustainable Energy (pp. 25-30). Article 7828628 (Proceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016: Recent Trends in Intelligent Computational Technologies for Sustainable Energy). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISITIA.2016.7828628

Faradisa, Irmalia Suryani ; Anggriawan, Dimas Okky ; Sardjono, Tri Arief et al. / Identification of phonocardiogram signal based on STFT and Marquart Lavenberg Backpropagation. Proceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016: Recent Trends in Intelligent Computational Technologies for Sustainable Energy. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 25-30 (Proceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016: Recent Trends in Intelligent Computational Technologies for Sustainable Energy).

@inproceedings{5051f2c67fbe4fcfa06307300d1bc044,

title = "Identification of phonocardiogram signal based on STFT and Marquart Lavenberg Backpropagation",

abstract = "Auscultation is one of method that has been used by doctor in the process to identify heart disease. But with only using auscultation is not possible to obtain quantitative data, because relating to the skills, experience and subjectivity doctor, for it to be made a program that can help doctors to identify heart abnormalities. Short Time Fourier Transform is used to analyze the frequency and timing of the patterns of normal and abnormal heart sounds. With the method of Levenberg Marquardt Back propagation expected 10 class heart sound can be identified with a good. The results showed that the accuracy will be higher when the number of neurons increased. When neurons 25 produce more accurate results with accuracy percentage is higher and more stable for each class. Where the highest accuracy is on the holo diastolic murmur class and the Normal Heart class with accuracy up to 99,9999\%.",

keywords = "Marquart Lavenberg Backpropagation, STFT, phonocardiography",

author = "Faradisa, \{Irmalia Suryani\} and Anggriawan, \{Dimas Okky\} and Sardjono, \{Tri Arief\} and Purnomo, \{Mauridhi Heri\}",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016 ; Conference date: 28-07-2016 Through 30-07-2016",

year = "2017",

month = jan,

day = "20",

doi = "10.1109/ISITIA.2016.7828628",

language = "English",

series = "Proceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016: Recent Trends in Intelligent Computational Technologies for Sustainable Energy",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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booktitle = "Proceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016",

address = "United States",

}

Faradisa, IS, Anggriawan, DO, Sardjono, TA & Purnomo, MH 2017, Identification of phonocardiogram signal based on STFT and Marquart Lavenberg Backpropagation. in Proceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016: Recent Trends in Intelligent Computational Technologies for Sustainable Energy., 7828628, Proceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016: Recent Trends in Intelligent Computational Technologies for Sustainable Energy, Institute of Electrical and Electronics Engineers Inc., pp. 25-30, 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016, Lombok, Indonesia, 28/07/16. https://doi.org/10.1109/ISITIA.2016.7828628

Identification of phonocardiogram signal based on STFT and Marquart Lavenberg Backpropagation. / Faradisa, Irmalia Suryani; Anggriawan, Dimas Okky; Sardjono, Tri Arief et al.
Proceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016: Recent Trends in Intelligent Computational Technologies for Sustainable Energy. Institute of Electrical and Electronics Engineers Inc., 2017. p. 25-30 7828628 (Proceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016: Recent Trends in Intelligent Computational Technologies for Sustainable Energy).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Identification of phonocardiogram signal based on STFT and Marquart Lavenberg Backpropagation

AU - Faradisa, Irmalia Suryani

AU - Anggriawan, Dimas Okky

AU - Sardjono, Tri Arief

AU - Purnomo, Mauridhi Heri

PY - 2017/1/20

Y1 - 2017/1/20

N2 - Auscultation is one of method that has been used by doctor in the process to identify heart disease. But with only using auscultation is not possible to obtain quantitative data, because relating to the skills, experience and subjectivity doctor, for it to be made a program that can help doctors to identify heart abnormalities. Short Time Fourier Transform is used to analyze the frequency and timing of the patterns of normal and abnormal heart sounds. With the method of Levenberg Marquardt Back propagation expected 10 class heart sound can be identified with a good. The results showed that the accuracy will be higher when the number of neurons increased. When neurons 25 produce more accurate results with accuracy percentage is higher and more stable for each class. Where the highest accuracy is on the holo diastolic murmur class and the Normal Heart class with accuracy up to 99,9999%.

AB - Auscultation is one of method that has been used by doctor in the process to identify heart disease. But with only using auscultation is not possible to obtain quantitative data, because relating to the skills, experience and subjectivity doctor, for it to be made a program that can help doctors to identify heart abnormalities. Short Time Fourier Transform is used to analyze the frequency and timing of the patterns of normal and abnormal heart sounds. With the method of Levenberg Marquardt Back propagation expected 10 class heart sound can be identified with a good. The results showed that the accuracy will be higher when the number of neurons increased. When neurons 25 produce more accurate results with accuracy percentage is higher and more stable for each class. Where the highest accuracy is on the holo diastolic murmur class and the Normal Heart class with accuracy up to 99,9999%.

KW - Marquart Lavenberg Backpropagation

KW - STFT

KW - phonocardiography

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U2 - 10.1109/ISITIA.2016.7828628

DO - 10.1109/ISITIA.2016.7828628

M3 - Conference contribution

AN - SCOPUS:85015366766

T3 - Proceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016: Recent Trends in Intelligent Computational Technologies for Sustainable Energy

SP - 25

EP - 30

BT - Proceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016

Y2 - 28 July 2016 through 30 July 2016

ER -

Faradisa IS, Anggriawan DO, Sardjono TA , Purnomo MH. Identification of phonocardiogram signal based on STFT and Marquart Lavenberg Backpropagation. In Proceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016: Recent Trends in Intelligent Computational Technologies for Sustainable Energy. Institute of Electrical and Electronics Engineers Inc. 2017. p. 25-30. 7828628. (Proceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016: Recent Trends in Intelligent Computational Technologies for Sustainable Energy). doi: 10.1109/ISITIA.2016.7828628

Identification of phonocardiogram signal based on STFT and Marquart Lavenberg Backpropagation

Abstract

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UN SDGs

Keywords

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