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Classification of Cardiac Tones of Mechanical and Native Mitral Valves

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Ambient Assisted Living (ForItAAL 2019)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 725))

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Abstract

Mechanical heart valve dysfunction can develop in as little as a few weeks, often causing a heart attack or serious complications. Investigating the altered acoustic characteristics of the cardiac tones in a mechanical valve may allow the early identification of valve malfunction. Nowadays, it is essential to equip a transplanted patient with innovative tools capable of monitoring his state of health at home and, in this case, the state of operation of the mechanical valves of his heart. This study is a step towards the early identification of valve malfunction. Here, basic acoustic features will be identified and tested, showing their effectiveness in discriminating the sound of a native mitral valve from a mechanical one. This study differs significantly from other studies since it is based on the new digital stethoscope eKuore-PRO®. The experimental results are interesting. The sensitivity is 100%, the accuracy is 95%, and the specificity is 93.3%, indicating that these features can discriminate the two types of valves effectively, and above all, that it is worth investigating whether they can timely and effectively predict mechanical valve malfunction.

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Acknowledgments

The authors would like to thank doctors Antonio Grosso, Francesco Spione and Giangiuseppe Dalena for their cooperation with this study, doctor Giampiero Esposito, director of the Mater Dei Hospital’s cardio-surgery department, who allowed data acquisition of patients. Special thanks go to Guillermo Lopez of the eKuore Company who supplied the digital stethoscope eKuore-PRO®.

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Authors and Affiliations

  1. Dipartimento di Informatica, Università degli Studi di Bari ‘Aldo Moro’, Bari, Italy

    Giovanni Dimauro, Danilo Caivano & Giovanni Dalena

  2. Dipartimento dell’Emergenza e dei Trapianti d’Organo, Università degli Studi di Bari, Bari, Italy

    Marco Matteo Ciccone

  3. Francesco Girardi, UVARP ASL, Bari, Italy

    Francesco Girardi

Authors
  1. Giovanni Dimauro
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  2. Danilo Caivano
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  3. Marco Matteo Ciccone
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  4. Giovanni Dalena
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  5. Francesco Girardi
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Corresponding author

Correspondence to Giovanni Dimauro .

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Editors and Affiliations

  1. Dipartimento di Ingegneria dell’Informazione (DII), Università Politecnica delle Marche, Ancona, Italy

    Andrea Monteriù

  2. Dipartimento di Ingegneria dell’Informazione (DII), Università Politecnica delle Marche, Ancona, Italy

    Alessandro Freddi

  3. Dipartimento di Ingegneria dell’Informazione (DII), Università Politecnica delle Marche, Ancona, Italy

    Sauro Longhi

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Dimauro, G., Caivano, D., Ciccone, M.M., Dalena, G., Girardi, F. (2021). Classification of Cardiac Tones of Mechanical and Native Mitral Valves. In: Monteriù, A., Freddi, A., Longhi, S. (eds) Ambient Assisted Living. ForItAAL 2019. Lecture Notes in Electrical Engineering, vol 725. Springer, Cham. https://doi.org/10.1007/978-3-030-63107-9_17

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  • DOI: https://doi.org/10.1007/978-3-030-63107-9_17

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  • Online ISBN: 978-3-030-63107-9

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