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Determining Heart Rate Beat-to-Beat from Smartphone Seismocardiograms: Preliminary Studies

  • Szymon Sieciński
  • Paweł Kostka
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 623)

Abstract

In the last decade the development of high quality, sensitive and inexpensive accelerometers has been seen, which in combination with low cost computational power provided the reasons for reconsidering analysis of cardiovascular vibrations in clinical practice.

Seismocardiography (SCG) is a non-invasive method of analyzing and recording vibrations generated by heart activity and blood motion. Mobile devices offer the possibility to monitor health parameters. Various applications have been proposed for SCG, including HRV (heart rate variability) analysis. Our aim is to determine location of AO points of SCG to achieve heart rate (HR) changes in time.

Proposed algorithm consists of calculating total acceleration value, signal preprocessing, peak finding, computing time between consecutive AO peaks and converting to heart rate. Algorithm performance was measured as true positive (TP), false positive (FP), false negative (FN) rates, sensitivity (Se) and positive predictive value (PPV) on 833 beats collected from 4 subjects.

We achieved average Se = 0.868 and PPV = 0.737 and in the best case Se = 0.995 and PPV = 0.974.

The obtained results are encouraging and indicate the possibility of measuring heart rate beat-to-beat accurately in rest conditions.

Keywords

seismocardiography heart rate variability AO detection smartphone 

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References

  1. 1.
    Inan OT, Migeotte PF, Park KS, Etemadi M, Tavakolian K, Casanella R, Zanetti J, Tank J, Funtova I, Prisk GK, Di Rienzo M: Ballistocardiography and seismocardiography: a review of recent advances. IEEE J Biomed Health Inform. 2015 Jul;19(4):1414–27.Google Scholar
  2. 2.
    Jafari Tadi M et al: A real-time approach for heart rate monitoring using a Hilbert transform in seismocardiograms. Physiol. Meas. 37 1885 (2016)Google Scholar
  3. 3.
    Korzeniowska-Kubacka I: Sejsmokardiografia—nowa nieinwazyjna metoda oceny czynności lewej komory w chorobie niedokrwiennej serca. Folia Cardiol. 2003, tom 10, nr 3 265-268.Google Scholar
  4. 4.
    Landreani F et al.: Beat-to-beat heart rate detection by smartphone’s accelerometers: Validation with ECG, 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Orlando, FL, 2016, pp. 525–528.Google Scholar
  5. 5.
    Migeotte P-F, Tank J, Pattyn N, Baevsky R, Neyt X and Prisk G: Three dimensional ballistocardiography: methodology and results from microgravity and dry immersion. Conf. Proc. IEEE Eng. Med. Biol. Soc. 4271–4 (2011).Google Scholar
  6. 6.
    Paalasmaa J, Toivonen H and Partinen M 2014 Adaptive heartbeat modelling for beat-to-beat heart rate measurement in ballistocardiograms IEEE J. Biomed. Health Inform. 19 1945–52Google Scholar
  7. 7.
    Rienzo M D, Vaini E, Castiglioni P, Merati G, Meriggi P, Parati G, Faini A and Rizzo F 2013 Wearable seismocardiography: towards a beat-by-beat assessment of cardiac mechanics in ambulant subjects Autonomic Neurosci. 178 50–9Google Scholar
  8. 8.
    Shafiq, G. et al. Automatic Identification of Systolic Time Intervals in Seismocardiogram. Sci. Rep. 6, 37524; doi:  10.1038/srep37524 (2016).
  9. 9.
    Zanetti JM and Salerno DM: Seismocardiography: A Technique for Recording Precordial Acceleration. Proceedings of Fourth Annual IEEE Symposium of Computer-Based Medical Systems, Baltimore, MD, USA, 1991, pp. 4-9.Google Scholar
  10. 10.
    Zanetti and Salerno DM: Seismocardiography: waveform identification and noise analysis. Computers in Cardiology, Venice, Italy, 1991, pp. 49-52.Google Scholar
  11. 11.
    Zanetti JM, Tavakolian K: Seismocardiography: Past, Present and Future. Proceedings of 35th Annual International Conference of the IEEE EMBS, Osaka, Japan, 3-7 July, 2013.Google Scholar

Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Szymon Sieciński
    • 1
  • Paweł Kostka
    • 1
  1. 1.Department of Biosensors and Biomedical Signals ProcessingSilesian University of TechnologyZabrzePoland

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