Szczegóły publikacji

Opis bibliograficzny

Heart rate variability analysis on reference heart beats and detected heart beats of smartphone seismocardiograms / Szymon Sieciński, Paweł S. Kostka, Ewaryst J. Tkacz, Natalia Piaseczna, Marta Wadas // W: Information Technology in Biomedicine : [ITIB 2019 : 7th international conference on Information Technologies in Biomedicine, June 17-19, 2019, Kamień Śląski, Poland] / eds. Ewa Pietka, [et al.]. — Cham : Springer Nature Switzerland, cop. 2019. — ( Advances in Intelligent Systems and Computing ; ISSN  2194-5357 ; vol. 1011 ). — ISBN: 978-3-030-23761-5; e-ISBN: 978-3-030-23762-2. — S. 473–480. — Bibliogr., Abstr. — Publikacja dostępna online od: 2019-06-26. — Sz. Sieciński - afiliacja: Silesian University of Technology, Zabrze

Autorzy (5)

  • Sieciński Szymon
  • Kostka Paweł S.
  • Tkacz Ewaryst
  • Piaseczna Natalia
  • Wadas Marta

Słowa kluczowe

seismocardiographyHRV analysissmartphone

Dane bibliometryczne

ID BaDAP164575
Data dodania do BaDAP2026-02-04
DOI10.1007/978-3-030-23762-2_42
Rok publikacji2019
Typ publikacjimateriały konferencyjne (aut.)
Otwarty dostęptak
WydawcaSpringer
Czasopismo/seriaAdvances in Intelligent Systems and Computing

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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Influence of gravitational offset removal on heart beat detection performance from Android smartphone seismocardiograms / Szymon Sieciński, Paweł Kostka // W: Information Technology in Biomedicine : 6th international conference, ITIB'2018 : Kamień Śląski, Poland, June 18–20, 2018 : proceedings / eds. Ewa Pietka, [et al.]. — Cham: Springer International Publishing, cop. 2019. — ( Advances in Intelligent Systems and Computing ; ISSN  2194-5357 ; vol. 762 ). — ISBN: 978-3-319-91210-3; e-ISBN: 978-3-319-91211-0. — S. 337–344. — Bibliogr., Abstr. — Publikacja dostępna online od: 2018-06-06. — Sz. Sieciński - afiliacja: Silesian University of Technology, Zabrze
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#164559Data dodania: 27.1.2026
Heart rate measurement based on embedded accelerometer in a smartphone / Mirella Urzeniczok, Szymon Sieciński, Paweł Kostka // W: Information Technology in Biomedicine : 9th international conference, ITIB 2022 : Kamień Śląski, Poland, June 20-22, 2022 : proceedings / eds. Ewa Pietka, [et al.]. — Cham: Springer International Publishing AG, cop. 2022. — ( Advances in Intelligent Systems and Computing ; ISSN  2194-5357 ; vol. 1429 ). — ISBN: 978-3-031-09134-6; e-ISBN: 978-3-031-09135-3. — S. 443–454. — Bibliogr., Abstr. — Sz. Sieciński - afiliacja: Department of Biosensors and Processing of Biomedical Signals, Faculty of Biomedical Engineering, Silesian University of Technology, Zabrze, Poland