Szczegóły publikacji

Opis bibliograficzny

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

Autorzy (2)

  • Sieciński Szymon
  • Kostka Paweł S.

Słowa kluczowe

heart beat dectectionsmartphoneseismocardiographygravitational offset

Dane bibliometryczne

ID BaDAP164589
Data dodania do BaDAP2026-02-04
DOI10.1007/978-3-319-91211-0_30
Rok publikacji2019
Typ publikacjimateriały konferencyjne (aut.)
Otwarty dostęptak
WydawcaSpringer
Konferencja6th international conference on Information Technologies in Biomedicine
Czasopismo/seriaAdvances in Intelligent Systems and Computing

Abstract

Seismocardiography (SCG) is a non-invasive method of analyzing and recording cardiovascular vibrations on the chest wall. Mobile devices offer the possibility to monitor cardiac activity. Accelerometers used in such analysis register gravitational offset because the effects of gravity on an object are indistinguishable from acceleration. Our aim is to investigate the influence of gravitational offset removal on heart beat detection from smartphone seismocardiograms. We registered SCG signals from two subjects (male and female) in supine position before and after enabling gravitational offset removal to analyze its influence on beat detection algorithm performance. Our algorithm consists of signal preprocessing, calculating analytical envelope and RMS envelope and peak finding. The influence of gravitational offset on heart beat detection is insignificant due to band-pass filtration. Offset removal slightly increased PPV for male subject and sensitivity for female subject. We observed beat detection quality improvement when using RMS envelope. The best performance was achieved using RMS envelope on signal from male subject. This study proves insignificant influence of gravitational offset on our heart beat detection algorithm. Very high performance on analyzed signals (Se = 0.990, PPV = 0.948 for all beats, Se = 1.000, PPV = 0.962 for the best case) encourages studies on another SCG data sets or experiment set-ups.

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#164575Data dodania: 4.2.2026
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
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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