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

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución de conferencia › revisión exhaustiva

Resumen

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.

Idioma original	Inglés
Título de la publicación alojada	8th Latin American Conference on Biomedical Engineering and 42nd National Conference on Biomedical Engineering - Proceedings of CLAIB-CNIB 2019
Editores	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
Editorial	Springer
Páginas	191-201
Número de páginas	11
ISBN (versión impresa)	9783030306472
DOI	https://doi.org/10.1007/978-3-030-30648-9_26
Estado	Publicada - 1 ene. 2020
Evento	8th Latin American Conference on Biomedical Engineering and the 42nd National Conference on Biomedical Engineering, CLAIB-CNIB 2019 - Cancún, México Duración: 2 oct. 2019 → 5 oct. 2019

Serie de la publicación

Nombre	IFMBE Proceedings
Volumen	75
ISSN (versión impresa)	1680-0737
ISSN (versión digital)	1433-9277

Conferencia

Conferencia	8th Latin American Conference on Biomedical Engineering and the 42nd National Conference on Biomedical Engineering, CLAIB-CNIB 2019
País/Territorio	México
Ciudad	Cancún
Período	2/10/19 → 5/10/19

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Publisher Copyright:
© 2020, Springer Nature Switzerland AG.

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

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García-Cedeño, A., Pinos, E., & Huerta, M. (2020). Algorithm for Presumptive Diagnosis of Cardiac Murmurs over Auscultated Heart Signals. En 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.",

keywords = "Audio acquisition, Audio processing, Auscultation, Heart murmurs",

author = "Andrea Garc{\'i}a-Cede{\~n}o and Eduardo Pinos and M{\'o}nica Huerta",

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García-Cedeño, A, Pinos, E & Huerta, M 2020, Algorithm for Presumptive Diagnosis of Cardiac Murmurs over Auscultated Heart Signals. En 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, México, 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).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución de conferencia › revisión exhaustiva

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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BT - 8th Latin American Conference on Biomedical Engineering and 42nd National Conference on Biomedical Engineering - Proceedings of CLAIB-CNIB 2019

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A2 - Laciar Leber, Eric

A2 - Vélez, Hugo A.

A2 - Puente, Norma P.

A2 - Flores, Dora-Luz

A2 - Andrade, Adriano O.

A2 - Galván, Héctor A.

A2 - Martínez, Fabiola

A2 - García, Renato

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García-Cedeño A, Pinos E , Huerta M. Algorithm for Presumptive Diagnosis of Cardiac Murmurs over Auscultated Heart Signals. En González Díaz CA, Chapa González C, Laciar Leber E, Vélez HA, Puente NP, Flores DL, Andrade AO, Galván HA, Martínez F, García R, Trujillo CJ, Mejía AR, editores, 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

Resumen

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