Kalp Üfürümlerinin izlenmesi için Walsh-Hadamard Dönuiümü Tabanli Otomatik Siniflandirma Sistemi

Ayse Arslan; Ahmet Cagri Bagbaba; Baha Sen; Berna Ors

Kalp Üfürümlerinin izlenmesi için Walsh-Hadamard Dönuiümü Tabanli Otomatik Siniflandirma Sistemi

Translated title of the contribution: The Walsh-Hadamard transform based automated grading system for monitoring of heart murmurs

Ayse Arslan, Ahmet Cagri Bagbaba, Baha Sen, Berna Ors

Department of Electronics and Communication Engineering

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

Abstract

Cardiac auscultation that is a still widely used technique to diagnose heart murmurs induced by heart disorders. Due to the fact that this method is quite subjective and time consuming, the enhancement of diagnosis techniques would contribute significantly to clinical auscultation. Development of computer-aided auscultative diagnosis systems, which provide more objective, reliable and faster results, would reduce the classification errors that may be occurred in the cardiovascular disorder diagnosis. Such an automated auscultative diagnostic software can be implemented by using signal processing and machine learning algorithms. The presented study uses a combination of the Walsh-Hadamard transform (WHT) and Hidden Markov Model (HMM) techniques. This study clearly shows that; successful automatic murmur diagnosis kits can be developed for assisting the doctors in clinical decision making process.

Translated title of the contribution	The Walsh-Hadamard transform based automated grading system for monitoring of heart murmurs
Original language	Turkish
Title of host publication	2016 National Conference on Electrical, Electronics and Biomedical Engineering, ELECO 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	481-485
Number of pages	5
ISBN (Electronic)	9786050109238
Publication status	Published - 10 Feb 2017
Event	2016 National Conference on Electrical, Electronics and Biomedical Engineering, ELECO 2016 - Bursa, Turkey Duration: 1 Dec 2016 → 3 Dec 2016

Publication series

Name	2016 National Conference on Electrical, Electronics and Biomedical Engineering, ELECO 2016

Conference

Conference	2016 National Conference on Electrical, Electronics and Biomedical Engineering, ELECO 2016
Country/Territory	Turkey
City	Bursa
Period	1/12/16 → 3/12/16

Bibliographical note

Publisher Copyright:
© 2016 The Chamber of Turkish Electrical Engineers.

Cite this

Arslan, A., Bagbaba, A. C., Sen, B., & Ors, B. (2017). Kalp Üfürümlerinin izlenmesi için Walsh-Hadamard Dönuiümü Tabanli Otomatik Siniflandirma Sistemi. In 2016 National Conference on Electrical, Electronics and Biomedical Engineering, ELECO 2016 (pp. 481-485). Article 7851971 (2016 National Conference on Electrical, Electronics and Biomedical Engineering, ELECO 2016). Institute of Electrical and Electronics Engineers Inc..

Arslan, Ayse ; Bagbaba, Ahmet Cagri ; Sen, Baha et al. / Kalp Üfürümlerinin izlenmesi için Walsh-Hadamard Dönuiümü Tabanli Otomatik Siniflandirma Sistemi. 2016 National Conference on Electrical, Electronics and Biomedical Engineering, ELECO 2016. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 481-485 (2016 National Conference on Electrical, Electronics and Biomedical Engineering, ELECO 2016).

@inproceedings{8340fb22b5344da587ad34561367c0a3,

title = "Kalp {\"U}f{\"u}r{\"u}mlerinin izlenmesi i{\c c}in Walsh-Hadamard D{\"o}nui{\"u}m{\"u} Tabanli Otomatik Siniflandirma Sistemi",

abstract = "Cardiac auscultation that is a still widely used technique to diagnose heart murmurs induced by heart disorders. Due to the fact that this method is quite subjective and time consuming, the enhancement of diagnosis techniques would contribute significantly to clinical auscultation. Development of computer-aided auscultative diagnosis systems, which provide more objective, reliable and faster results, would reduce the classification errors that may be occurred in the cardiovascular disorder diagnosis. Such an automated auscultative diagnostic software can be implemented by using signal processing and machine learning algorithms. The presented study uses a combination of the Walsh-Hadamard transform (WHT) and Hidden Markov Model (HMM) techniques. This study clearly shows that; successful automatic murmur diagnosis kits can be developed for assisting the doctors in clinical decision making process.",

author = "Ayse Arslan and Bagbaba, {Ahmet Cagri} and Baha Sen and Berna Ors",

note = "Publisher Copyright: {\textcopyright} 2016 The Chamber of Turkish Electrical Engineers.; 2016 National Conference on Electrical, Electronics and Biomedical Engineering, ELECO 2016 ; Conference date: 01-12-2016 Through 03-12-2016",

year = "2017",

month = feb,

day = "10",

language = "T{\"u}rk{\c c}e",

series = "2016 National Conference on Electrical, Electronics and Biomedical Engineering, ELECO 2016",

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

pages = "481--485",

booktitle = "2016 National Conference on Electrical, Electronics and Biomedical Engineering, ELECO 2016",

address = "United States",

}

Arslan, A, Bagbaba, AC, Sen, B & Ors, B 2017, Kalp Üfürümlerinin izlenmesi için Walsh-Hadamard Dönuiümü Tabanli Otomatik Siniflandirma Sistemi. in 2016 National Conference on Electrical, Electronics and Biomedical Engineering, ELECO 2016., 7851971, 2016 National Conference on Electrical, Electronics and Biomedical Engineering, ELECO 2016, Institute of Electrical and Electronics Engineers Inc., pp. 481-485, 2016 National Conference on Electrical, Electronics and Biomedical Engineering, ELECO 2016, Bursa, Turkey, 1/12/16.

Kalp Üfürümlerinin izlenmesi için Walsh-Hadamard Dönuiümü Tabanli Otomatik Siniflandirma Sistemi. / Arslan, Ayse; Bagbaba, Ahmet Cagri; Sen, Baha et al.
2016 National Conference on Electrical, Electronics and Biomedical Engineering, ELECO 2016. Institute of Electrical and Electronics Engineers Inc., 2017. p. 481-485 7851971 (2016 National Conference on Electrical, Electronics and Biomedical Engineering, ELECO 2016).

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

TY - GEN

T1 - Kalp Üfürümlerinin izlenmesi için Walsh-Hadamard Dönuiümü Tabanli Otomatik Siniflandirma Sistemi

AU - Arslan, Ayse

AU - Bagbaba, Ahmet Cagri

AU - Sen, Baha

AU - Ors, Berna

PY - 2017/2/10

Y1 - 2017/2/10

N2 - Cardiac auscultation that is a still widely used technique to diagnose heart murmurs induced by heart disorders. Due to the fact that this method is quite subjective and time consuming, the enhancement of diagnosis techniques would contribute significantly to clinical auscultation. Development of computer-aided auscultative diagnosis systems, which provide more objective, reliable and faster results, would reduce the classification errors that may be occurred in the cardiovascular disorder diagnosis. Such an automated auscultative diagnostic software can be implemented by using signal processing and machine learning algorithms. The presented study uses a combination of the Walsh-Hadamard transform (WHT) and Hidden Markov Model (HMM) techniques. This study clearly shows that; successful automatic murmur diagnosis kits can be developed for assisting the doctors in clinical decision making process.

AB - Cardiac auscultation that is a still widely used technique to diagnose heart murmurs induced by heart disorders. Due to the fact that this method is quite subjective and time consuming, the enhancement of diagnosis techniques would contribute significantly to clinical auscultation. Development of computer-aided auscultative diagnosis systems, which provide more objective, reliable and faster results, would reduce the classification errors that may be occurred in the cardiovascular disorder diagnosis. Such an automated auscultative diagnostic software can be implemented by using signal processing and machine learning algorithms. The presented study uses a combination of the Walsh-Hadamard transform (WHT) and Hidden Markov Model (HMM) techniques. This study clearly shows that; successful automatic murmur diagnosis kits can be developed for assisting the doctors in clinical decision making process.

UR - http://www.scopus.com/inward/record.url?scp=85015372523&partnerID=8YFLogxK

M3 - Konferans katkısı

AN - SCOPUS:85015372523

T3 - 2016 National Conference on Electrical, Electronics and Biomedical Engineering, ELECO 2016

SP - 481

EP - 485

BT - 2016 National Conference on Electrical, Electronics and Biomedical Engineering, ELECO 2016

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2016 National Conference on Electrical, Electronics and Biomedical Engineering, ELECO 2016

Y2 - 1 December 2016 through 3 December 2016

ER -

Arslan A, Bagbaba AC, Sen B, Ors B. Kalp Üfürümlerinin izlenmesi için Walsh-Hadamard Dönuiümü Tabanli Otomatik Siniflandirma Sistemi. In 2016 National Conference on Electrical, Electronics and Biomedical Engineering, ELECO 2016. Institute of Electrical and Electronics Engineers Inc. 2017. p. 481-485. 7851971. (2016 National Conference on Electrical, Electronics and Biomedical Engineering, ELECO 2016).

Kalp Üfürümlerinin izlenmesi için Walsh-Hadamard Dönuiümü Tabanli Otomatik Siniflandirma Sistemi

Abstract

Publication series

Conference

Bibliographical note

Other files and links

Fingerprint

Cite this