Szczegóły publikacji
Opis bibliograficzny
Time domain and frequency domain heart rate variability analysis on gyrocardiograms / Szymon Sieciński, Paweł S. Kostka, Ewaryst J. Tkacz // W: EMBC'20 [Dokument elektroniczny] : 42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society : "Enabling Innovative Technologies for Global Healthcare" : 20–24 July 2020, Montreal. — Wersja do Windows. — Dane tekstowe. — [Piscataway] : IEEE, [2020]. — ( Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society ; ISSN 1094-687X ). — e-ISBN: 978-1-7281-1990-8. — S. 2630–2633. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. 2632–2633, Abstr. — Publikacja dostępna online od: 2020-08-27. — Sz. Sieciński - afiliacja: Silesian University of Technology, Zabrze
Autorzy (3)
- Sieciński Szymon
- Kostka Paweł S.
- Tkacz Ewaryst
Dane bibliometryczne
| ID BaDAP | 164569 |
|---|---|
| Data dodania do BaDAP | 2026-01-27 |
| Tekst źródłowy | URL |
| DOI | 10.1109/EMBC44109.2020.9176052 |
| Rok publikacji | 2020 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Wydawca | Institute of Electrical and Electronics Engineers (IEEE) |
| Konferencja | The Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2020 |
| Czasopismo/seria | Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society |
Abstract
Heart rate variability (HRV) is a valuable noninvasive tool of assessing the state of cardiovascular autonomic function. The interest in heart rate monitoring without electrodes led to the rise of alternative heart beat monitoring methods, such as gyrocardiography (GCG). The purpose of this study was to compare HRV indices calculated on GCG and ECG signals. The study on time domain and and frequency domain heart rate variability analysis was conducted on electrocardiograms and gyrocardiograms registered on 29 healthy male volunteers. ECG signals were used as a reference and the HRV analysis was performed using PhysioNet Cardiovascular Signal Toolbox. The results of HRV analysis show great similarity and strong linear correlation of HRV indices calculated from ECG and GCG indicate the feasibility and reliability of HRV analysis based on gyrocardiograms.
