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Heart Beat Detection from Smartphone SCG Signals: Comparison with Previous Study on HR Estimation

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Innovations in Biomedical Engineering (IBE 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 925))

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Abstract

Seismocardiography (SCG) is a non-invasive method of analyzing and recording cardiovascular activity as vibrations transmitted to the chest wall. Mobile devices offer the possibility to monitor health parameters thanks to embedded sensors. Various applications have been proposed for SCG, including heart rate calculation. Our aim is to detect heart beat on seismocardiograms using improved algorithm and compare its performance with results obtained in previous study.

Algorithm proposed in this study consists of signal preprocessing, RMS envelope calculation and peak finding. Algorithm performance was measured as sensitivity (Se) and positive predictive value (PPV) of beat detection on 4 signals acquired from 4 subjects.

We achieved average \(Se = 0.994\) and \(PPV = 0.966\) and in the best case \(Se = 0.995\) and \(PPV = 0.970\). Results prove major improvement of beat detection from smartphone seismocardiograms since the previous study.

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Authors and Affiliations

  1. Department of Biosensors and Biomedical Signals Processing, Silesian University of Technology, Zabrze, Poland

    Szymon Sieciński & Paweł Kostka

Authors
  1. Szymon Sieciński
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  2. Paweł Kostka
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Corresponding author

Correspondence to Szymon Sieciński .

Editor information

Editors and Affiliations

  1. Faculty of Biomedical Engineering, Department of Biosensors and Biomedical Signals Processing, Silesian University of Technology, Zabrze, Poland

    Ewaryst Tkacz

  2. Faculty of Biomedical Engineering, Department of Biosensors and Biomedical Signals Processing, Silesian University of Technology, Zabrze, Poland

    Marek Gzik

  3. Faculty of Biomedical Engineering, Department of Biosensors and Biomedical Signals Processing, Silesian University of Technology, Zabrze, Poland

    Zbigniew Paszenda

  4. Faculty of Biomedical Engineering, Department of Biosensors and Biomedical Signals Processing, Silesian University of Technology, Zabrze, Poland

    Ewa Piętka

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Sieciński, S., Kostka, P. (2019). Heart Beat Detection from Smartphone SCG Signals: Comparison with Previous Study on HR Estimation. In: Tkacz, E., Gzik, M., Paszenda, Z., Piętka, E. (eds) Innovations in Biomedical Engineering. IBE 2018. Advances in Intelligent Systems and Computing, vol 925. Springer, Cham. https://doi.org/10.1007/978-3-030-15472-1_14

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