Algorithm for Presumptive Diagnosis of Cardiac Murmurs over Auscultated Heart Signals

Andrea García-Cedeño; Eduardo Pinos; Mónica Huerta

doi:10.1007/978-3-030-30648-9_26

Algorithm for Presumptive Diagnosis of Cardiac Murmurs over Auscultated Heart Signals

Andrea García-Cedeño, Eduardo Pinos, Mónica Huerta

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

Abstract

The development of innovative cardiac assessment techniques has optimized heart conditions diagnosis, however it has led to a reduction of auscultation practice and hence its effectiveness. Furthermore, in public health systems it is not possible to meet the demand of patients who require the use of these new technologies, so auscultation is key in the process of evaluating cardiac subjects. Based on this situation, this document describes a proposal focused on the analysis and processing of the auscultated heart signal in order to generate a presumptive diagnosis of heart murmurs. The evaluation of the presence of a valvular lesion consisted in the identification of abnormalities in the relationship between the period of contraction and relaxation of the cardiac cycle. During the experimental phase of this work, acceptable results of sensitivity and specificity were obtained, reason why as future work it is planned its development as a tool of low cost to optimize the detection of valvular diseases.

Original language	English
Title of host publication	8th Latin American Conference on Biomedical Engineering and 42nd National Conference on Biomedical Engineering - Proceedings of CLAIB-CNIB 2019
Editors	César A. González Díaz, Christian Chapa González, Eric Laciar Leber, Hugo A. Vélez, Norma P. Puente, Dora-Luz Flores, Adriano O. Andrade, Héctor A. Galván, Fabiola Martínez, Renato García, Citlalli J. Trujillo, Aldo R. Mejía
Publisher	Springer
Pages	191-201
Number of pages	11
ISBN (Print)	9783030306472
DOIs	https://doi.org/10.1007/978-3-030-30648-9_26
State	Published - 1 Jan 2020
Event	8th Latin American Conference on Biomedical Engineering and the 42nd National Conference on Biomedical Engineering, CLAIB-CNIB 2019 - Cancún, Mexico Duration: 2 Oct 2019 → 5 Oct 2019

Publication series

Name	IFMBE Proceedings
Volume	75
ISSN (Print)	1680-0737
ISSN (Electronic)	1433-9277

Conference

Conference	8th Latin American Conference on Biomedical Engineering and the 42nd National Conference on Biomedical Engineering, CLAIB-CNIB 2019
Country/Territory	Mexico
City	Cancún
Period	2/10/19 → 5/10/19

Bibliographical note

Publisher Copyright:
© 2020, Springer Nature Switzerland AG.

Keywords

Audio acquisition
Audio processing
Auscultation
Heart murmurs

UN SDGs

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

Access to Document

10.1007/978-3-030-30648-9_26

Cite this

García-Cedeño, A., Pinos, E., & Huerta, M. (2020). Algorithm for Presumptive Diagnosis of Cardiac Murmurs over Auscultated Heart Signals. In C. A. González Díaz, C. Chapa González, E. Laciar Leber, H. A. Vélez, N. P. Puente, D-L. Flores, A. O. Andrade, H. A. Galván, F. Martínez, R. García, C. J. Trujillo, & A. R. Mejía (Eds.), 8th Latin American Conference on Biomedical Engineering and 42nd National Conference on Biomedical Engineering - Proceedings of CLAIB-CNIB 2019 (pp. 191-201). (IFMBE Proceedings; Vol. 75). Springer. https://doi.org/10.1007/978-3-030-30648-9_26

García-Cedeño, Andrea ; Pinos, Eduardo ; Huerta, Mónica. / Algorithm for Presumptive Diagnosis of Cardiac Murmurs over Auscultated Heart Signals. 8th Latin American Conference on Biomedical Engineering and 42nd National Conference on Biomedical Engineering - Proceedings of CLAIB-CNIB 2019. editor / César A. González Díaz ; Christian Chapa González ; Eric Laciar Leber ; Hugo A. Vélez ; Norma P. Puente ; Dora-Luz Flores ; Adriano O. Andrade ; Héctor A. Galván ; Fabiola Martínez ; Renato García ; Citlalli J. Trujillo ; Aldo R. Mejía. Springer, 2020. pp. 191-201 (IFMBE Proceedings).

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title = "Algorithm for Presumptive Diagnosis of Cardiac Murmurs over Auscultated Heart Signals",

abstract = "The development of innovative cardiac assessment techniques has optimized heart conditions diagnosis, however it has led to a reduction of auscultation practice and hence its effectiveness. Furthermore, in public health systems it is not possible to meet the demand of patients who require the use of these new technologies, so auscultation is key in the process of evaluating cardiac subjects. Based on this situation, this document describes a proposal focused on the analysis and processing of the auscultated heart signal in order to generate a presumptive diagnosis of heart murmurs. The evaluation of the presence of a valvular lesion consisted in the identification of abnormalities in the relationship between the period of contraction and relaxation of the cardiac cycle. During the experimental phase of this work, acceptable results of sensitivity and specificity were obtained, reason why as future work it is planned its development as a tool of low cost to optimize the detection of valvular diseases.",

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García-Cedeño, A, Pinos, E & Huerta, M 2020, Algorithm for Presumptive Diagnosis of Cardiac Murmurs over Auscultated Heart Signals. in CA González Díaz, C Chapa González, E Laciar Leber, HA Vélez, NP Puente, D-L Flores, AO Andrade, HA Galván, F Martínez, R García, CJ Trujillo & AR Mejía (eds), 8th Latin American Conference on Biomedical Engineering and 42nd National Conference on Biomedical Engineering - Proceedings of CLAIB-CNIB 2019. IFMBE Proceedings, vol. 75, Springer, pp. 191-201, 8th Latin American Conference on Biomedical Engineering and the 42nd National Conference on Biomedical Engineering, CLAIB-CNIB 2019, Cancún, Mexico, 2/10/19. https://doi.org/10.1007/978-3-030-30648-9_26

Algorithm for Presumptive Diagnosis of Cardiac Murmurs over Auscultated Heart Signals. / García-Cedeño, Andrea; Pinos, Eduardo ; Huerta, Mónica.
8th Latin American Conference on Biomedical Engineering and 42nd National Conference on Biomedical Engineering - Proceedings of CLAIB-CNIB 2019. ed. / César A. González Díaz; Christian Chapa González; Eric Laciar Leber; Hugo A. Vélez; Norma P. Puente; Dora-Luz Flores; Adriano O. Andrade; Héctor A. Galván; Fabiola Martínez; Renato García; Citlalli J. Trujillo; Aldo R. Mejía. Springer, 2020. p. 191-201 (IFMBE Proceedings; Vol. 75).

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

TY - GEN

T1 - Algorithm for Presumptive Diagnosis of Cardiac Murmurs over Auscultated Heart Signals

AU - García-Cedeño, Andrea

AU - Pinos, Eduardo

AU - Huerta, Mónica

PY - 2020/1/1

Y1 - 2020/1/1

N2 - The development of innovative cardiac assessment techniques has optimized heart conditions diagnosis, however it has led to a reduction of auscultation practice and hence its effectiveness. Furthermore, in public health systems it is not possible to meet the demand of patients who require the use of these new technologies, so auscultation is key in the process of evaluating cardiac subjects. Based on this situation, this document describes a proposal focused on the analysis and processing of the auscultated heart signal in order to generate a presumptive diagnosis of heart murmurs. The evaluation of the presence of a valvular lesion consisted in the identification of abnormalities in the relationship between the period of contraction and relaxation of the cardiac cycle. During the experimental phase of this work, acceptable results of sensitivity and specificity were obtained, reason why as future work it is planned its development as a tool of low cost to optimize the detection of valvular diseases.

AB - The development of innovative cardiac assessment techniques has optimized heart conditions diagnosis, however it has led to a reduction of auscultation practice and hence its effectiveness. Furthermore, in public health systems it is not possible to meet the demand of patients who require the use of these new technologies, so auscultation is key in the process of evaluating cardiac subjects. Based on this situation, this document describes a proposal focused on the analysis and processing of the auscultated heart signal in order to generate a presumptive diagnosis of heart murmurs. The evaluation of the presence of a valvular lesion consisted in the identification of abnormalities in the relationship between the period of contraction and relaxation of the cardiac cycle. During the experimental phase of this work, acceptable results of sensitivity and specificity were obtained, reason why as future work it is planned its development as a tool of low cost to optimize the detection of valvular diseases.

KW - Audio acquisition

KW - Audio processing

KW - Auscultation

KW - Heart murmurs

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García-Cedeño A, Pinos E , Huerta M. Algorithm for Presumptive Diagnosis of Cardiac Murmurs over Auscultated Heart Signals. In González Díaz CA, Chapa González C, Laciar Leber E, Vélez HA, Puente NP, Flores D-L, Andrade AO, Galván HA, Martínez F, García R, Trujillo CJ, Mejía AR, editors, 8th Latin American Conference on Biomedical Engineering and 42nd National Conference on Biomedical Engineering - Proceedings of CLAIB-CNIB 2019. Springer. 2020. p. 191-201. (IFMBE Proceedings). doi: 10.1007/978-3-030-30648-9_26

Algorithm for Presumptive Diagnosis of Cardiac Murmurs over Auscultated Heart Signals

Abstract

Publication series

Conference

Bibliographical note

Keywords

UN SDGs

Access to Document

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