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Acoustic Features for the Identification of Coronary Artery Disease

Samuel E Schmidt, Claus Holst-Hansen, John Hansen

    IEEE Transactions on Bio-Medical Engineering
    |May 15, 2015
    PubMed

    Insights

    Researchers identified new heart sound features indicating increased low-frequency power in coronary artery disease (CAD) patients. This analysis using an electronic stethoscope shows potential for CAD diagnosis, though further refinement is needed for clinical application.

    Area of Science:

    • Cardiology
    • Biomedical Signal Processing
    • Medical Diagnostics

    Background:

    • Coronary artery disease (CAD) can manifest as subtle heart murmurs.
    • Analysis of heart sounds presents a potential low-cost diagnostic avenue for CAD.
    • Electronic stethoscopes offer advanced signal processing capabilities for heart sound analysis.

    Purpose of the Study:

    • To identify specific heart sound features indicative of coronary artery disease (CAD).
    • To explore the diagnostic potential of analyzing heart sounds for CAD detection.
    • To develop a method for CAD diagnosis using digital signal processing of heart sounds.

    Main Methods:

    • Extracted and analyzed nine distinct feature types across five overlapping frequency bands.
    • Utilized 435 heart sound recordings from 133 subjects for analysis.
    • Employed a quadratic discriminant function to combine features into a diagnostic score.

    Main Results:

    • Identified novel features associated with increased low-frequency power in CAD patients.
    • Observed strong correlations among the different feature types.
    • Achieved an area under the receiver operating characteristic curve of 0.73 for the developed CAD score.

    Conclusions:

    • Heart sound analysis demonstrates potential for coronary artery disease (CAD) diagnosis.
    • Further research and feature refinement are required to enhance clinical relevance.
    • The study provides a foundation for developing non-invasive CAD diagnostic tools.
    Abstract

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