A heart murmur detection system using spectrograms and artificial neural networks

Khaled Ejaz; Glenn Nordehn; Rocio Alba-Flores; Fernando Rios-Gutierrez; Stanley Burns; Nicholas Andrisevic

A heart murmur detection system using spectrograms and artificial neural networks

Khaled Ejaz
, Glenn Nordehn
, Rocio Alba-Flores
, Fernando Rios-Gutierrez
, Stanley Burns
, Nicholas Andrisevic

Electrical & Computer Engineering

Research output: Contribution to book or proceeding › Conference article › peer-review

13 Scopus citations

Abstract

Heart disease is wide spread. This paper presents a system that detects heart murmurs using signal processing techniques and artificial neural networks. The system is robust enough to detect heart sound data from many sources using different collection techniques. Frequencies below and in the range of normal human hearing are found to be important in the detection process. The system is a helpful step in the development of bringing engineering techniques to physicians to assist in detection of some heart diseases.

Original language	English
Title of host publication	Proceedings of the IASTED International Conference on Circuits, Signals, and Systems
Editors	M.H. Rashid
Pages	374-379
Number of pages	6
State	Published - 2004
Event	Proceedings of the IASTED International Conference on Circuits, Signals, and Systems - Clearwater Beach, FL, United States Duration: Nov 28 2004 → Dec 1 2004

Publication series

Name	Proceedings of the IASTED International Conference on Circuits, Signals, and Systems

Conference

Conference	Proceedings of the IASTED International Conference on Circuits, Signals, and Systems
Country/Territory	United States
City	Clearwater Beach, FL
Period	11/28/04 → 12/1/04

UN SDGs

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

SDG 3 Good Health and Well-being

Scopus Subject Areas

General Engineering

Keywords

Applications
Artificial Neural Networks
Digital Signal Processing
Heart Murmur

Cite this

Ejaz, K., Nordehn, G., Alba-Flores, R., Rios-Gutierrez, F., Burns, S., & Andrisevic, N. (2004). A heart murmur detection system using spectrograms and artificial neural networks. In M. H. Rashid (Ed.), Proceedings of the IASTED International Conference on Circuits, Signals, and Systems (pp. 374-379). Article 449-100 (Proceedings of the IASTED International Conference on Circuits, Signals, and Systems).

@inproceedings{e34b90c6527e4f9d9b70231b6199e18e,

title = "A heart murmur detection system using spectrograms and artificial neural networks",

abstract = "Heart disease is wide spread. This paper presents a system that detects heart murmurs using signal processing techniques and artificial neural networks. The system is robust enough to detect heart sound data from many sources using different collection techniques. Frequencies below and in the range of normal human hearing are found to be important in the detection process. The system is a helpful step in the development of bringing engineering techniques to physicians to assist in detection of some heart diseases.",

keywords = "Applications, Artificial Neural Networks, Digital Signal Processing, Heart Murmur",

author = "Khaled Ejaz and Glenn Nordehn and Rocio Alba-Flores and Fernando Rios-Gutierrez and Stanley Burns and Nicholas Andrisevic",

year = "2004",

language = "English",

isbn = "0889864551",

series = "Proceedings of the IASTED International Conference on Circuits, Signals, and Systems",

pages = "374--379",

editor = "M.H. Rashid",

booktitle = "Proceedings of the IASTED International Conference on Circuits, Signals, and Systems",

note = "Proceedings of the IASTED International Conference on Circuits, Signals, and Systems ; Conference date: 28-11-2004 Through 01-12-2004",

}

Ejaz, K, Nordehn, G, Alba-Flores, R , Rios-Gutierrez, F, Burns, S & Andrisevic, N 2004, A heart murmur detection system using spectrograms and artificial neural networks. in MH Rashid (ed.), Proceedings of the IASTED International Conference on Circuits, Signals, and Systems., 449-100, Proceedings of the IASTED International Conference on Circuits, Signals, and Systems, pp. 374-379, Proceedings of the IASTED International Conference on Circuits, Signals, and Systems, Clearwater Beach, FL, United States, 11/28/04.

A heart murmur detection system using spectrograms and artificial neural networks. / Ejaz, Khaled; Nordehn, Glenn; Alba-Flores, Rocio et al.
Proceedings of the IASTED International Conference on Circuits, Signals, and Systems. ed. / M.H. Rashid. 2004. p. 374-379 449-100 (Proceedings of the IASTED International Conference on Circuits, Signals, and Systems).

Research output: Contribution to book or proceeding › Conference article › peer-review

TY - GEN

T1 - A heart murmur detection system using spectrograms and artificial neural networks

AU - Ejaz, Khaled

AU - Nordehn, Glenn

AU - Alba-Flores, Rocio

AU - Rios-Gutierrez, Fernando

AU - Burns, Stanley

AU - Andrisevic, Nicholas

PY - 2004

Y1 - 2004

N2 - Heart disease is wide spread. This paper presents a system that detects heart murmurs using signal processing techniques and artificial neural networks. The system is robust enough to detect heart sound data from many sources using different collection techniques. Frequencies below and in the range of normal human hearing are found to be important in the detection process. The system is a helpful step in the development of bringing engineering techniques to physicians to assist in detection of some heart diseases.

AB - Heart disease is wide spread. This paper presents a system that detects heart murmurs using signal processing techniques and artificial neural networks. The system is robust enough to detect heart sound data from many sources using different collection techniques. Frequencies below and in the range of normal human hearing are found to be important in the detection process. The system is a helpful step in the development of bringing engineering techniques to physicians to assist in detection of some heart diseases.

KW - Applications

KW - Artificial Neural Networks

KW - Digital Signal Processing

KW - Heart Murmur

UR - https://www.scopus.com/pages/publications/11144325112

M3 - Conference article

AN - SCOPUS:11144325112

SN - 0889864551

SN - 9780889864559

T3 - Proceedings of the IASTED International Conference on Circuits, Signals, and Systems

SP - 374

EP - 379

BT - Proceedings of the IASTED International Conference on Circuits, Signals, and Systems

A2 - Rashid, M.H.

T2 - Proceedings of the IASTED International Conference on Circuits, Signals, and Systems

Y2 - 28 November 2004 through 1 December 2004

ER -

Ejaz K, Nordehn G, Alba-Flores R , Rios-Gutierrez F, Burns S, Andrisevic N. A heart murmur detection system using spectrograms and artificial neural networks. In Rashid MH, editor, Proceedings of the IASTED International Conference on Circuits, Signals, and Systems. 2004. p. 374-379. 449-100. (Proceedings of the IASTED International Conference on Circuits, Signals, and Systems).

A heart murmur detection system using spectrograms and artificial neural networks

Abstract

Publication series

Conference

UN SDGs

Scopus Subject Areas

Keywords

Other files and links

Fingerprint

Cite this