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Comparison of Heart Rate Variability Indices Based on Seismocardiograms from Healthy Volunteers and Patients with Valvular Heart Diseases

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Citations (Scopus)

Abstract

Heart rate variability (HRV) is a physiological variation of intervals between consecutive heart beats that reflects the activity of the autonomic nervous system. This parameter is traditionally evaluated on the basis of electrocardiograms (ECG signals). Because seismocardiography (SCG) registers cardiac mechanical activity, it may be used in HRV analysis and the evaluation of valvular heart diseases (VHDs) simultaneously. In our study, our objective was to compare HRV indices in the time and frequency domain obtained from seismocardiograms (SCG signals) in healthy volunteers and patients with valvular heart diseases. The results of the HRV analysis indicate that there are significant differences between the HRV indices obtained from the seismocardiograms in healthy volunteers and patients with VHD, This shows the feasibility and validity of HRV analysis based on seismocardiograms in healthy volunteers and patients with VHD.

Original languageEnglish
Title of host publication2022 Computing in Cardiology, CinC 2022
PublisherIEEE Computer Society
ISBN (Electronic)9798350300970
DOIs
Publication statusPublished - 2022
Event2022 Computing in Cardiology, CinC 2022 - Tampere, Finland
Duration: 4 Sept 2022 → 7 Sept 2022

Publication series

NameComputing in Cardiology
Volume49
ISSN (Print)2325-8861
ISSN (Electronic)2325-887X

Conference

Conference2022 Computing in Cardiology, CinC 2022
Country/TerritoryFinland
CityTampere
Period4/09/22 → 7/09/22

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

ASJC Scopus subject areas

  • General Computer Science
  • Cardiology and Cardiovascular Medicine

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