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Multi-channel audio-based estimation of the Pre-Ejection Period.

R P Paiva, T Sapata, J Henriques

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |January 7, 2016
    PubMed
    Summary

    This study introduces a multi-channel heart sound approach to estimate systolic time intervals (STI), improving accuracy for cardiac function assessment. A novel channel selection method reduces estimation errors, aiding long-term patient monitoring.

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    Area of Science:

    • Cardiology
    • Biomedical Engineering
    • Signal Processing

    Background:

    • Systolic time intervals (STI) are crucial for assessing global cardiac function and patient prognosis in chronic cardiovascular diseases.
    • Heart sound analysis offers a non-invasive method for estimating STI, particularly the Pre-Ejection Period (PEP).
    • Current single-channel auscultation methods face challenges due to variable optimal listening sites.

    Purpose of the Study:

    • To develop and evaluate a multi-channel heart sound acquisition setup for improved STI estimation.
    • To introduce and validate a channel selection algorithm for optimizing PEP calculation.
    • To assess the feasibility of audio-based STI assessment in personal health applications.

    Main Methods:

    • A multi-channel sound acquisition system was employed, leveraging signal redundancy.
    • A novel channel selection method was proposed to identify the optimal channel for PEP estimation.
    • Algorithms were validated against echocardiography using 236 heartbeats from 8 healthy subjects across two auscultation sites.

    Main Results:

    • The multi-channel approach with channel selection demonstrated an 8.4% reduction in estimation error compared to single-channel methods.
    • This strategy effectively addressed the variability of optimal auscultation sites.
    • Preliminary results confirm the potential of the devised algorithms.

    Conclusions:

    • A multi-channel audio-based strategy significantly enhances the accuracy of STI estimation.
    • The proposed channel selection method improves the reliability of Pre-Ejection Period calculations.
    • This approach shows promise for non-invasive, long-term cardiac monitoring in personal health applications.