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Heart Rate Variability Analysis on Reference Heart Beats and Detected Heart Beats of Smartphone Seismocardiograms

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Book cover Information Technology in Biomedicine (ITIB 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1011))

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Abstract

Heart      rate variability (HRV) is the physiological variation of time between consecutive heart beats. Seismocardiography (SCG) is a non-invasive method of analyzing and recording cardiovascular vibrations transmitted to the chest wall. Mobile devices can monitor health parameters thanks to embedded sensors. In this study we compare HRV indices calculated from heart beats obtained from reference beats and tested beat detection algorithm on three SCG signals. Proposed algorithm consists of signal preprocessing, RMS envelope calculation and peak finding. Algorithm performance was compared to reference beat detector and defined as sensitivity (Se) and positive predictive value (PPV). We achieved average Se \(=0.958\) and PPV \(=0.912\), and in the best case Se \(=1.000\) and PPV \(=1.000\) for tested beat detector. HRV indices are influenced by the performance of heart beat detector. The smallest differences between HRV indices calculated from heart beats determined by different detectors were achieved for mean inter-beat interval, RMSSD, pNN50, PLF, PHF and LF/HF.

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Authors and Affiliations

  1. Faculty of Biomedical Engineering, Department of Biosensors and Biomedical Signal Processing, Silesian University of Technology, Roosevelta 40, 41-800, Zabrze, Poland

    Szymon Sieciński, Paweł S. Kostka, Ewaryst J. Tkacz, Natalia Piaseczna & Marta Wadas

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  1. Szymon Sieciński
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  2. Paweł S. Kostka
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  3. Ewaryst J. Tkacz
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  4. Natalia Piaseczna
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  5. Marta Wadas
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Corresponding author

Correspondence to Szymon Sieciński .

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Editors and Affiliations

  1. Faculty of Biomedical Engineering, Silesian University of Technology, Zabrze, Poland

    Ewa Pietka

  2. Faculty of Biomedical Engineering, Silesian University of Technology, Zabrze, Poland

    Pawel Badura

  3. Faculty of Biomedical Engineering, Silesian University of Technology, Gliwice, Poland

    Jacek Kawa

  4. Faculty of Biomedical Engineering, Silesian University of Technology, Zabrze, Poland

    Wojciech Wieclawek

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Sieciński, S., Kostka, P.S., Tkacz, E.J., Piaseczna, N., Wadas, M. (2019). Heart Rate Variability Analysis on Reference Heart Beats and Detected Heart Beats of Smartphone Seismocardiograms. In: Pietka, E., Badura, P., Kawa, J., Wieclawek, W. (eds) Information Technology in Biomedicine. ITIB 2019. Advances in Intelligent Systems and Computing, vol 1011. Springer, Cham. https://doi.org/10.1007/978-3-030-23762-2_42

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