Nocturnal Frequency Instability of Respiratory Sinus Arrhythmia in Heart Failure

Junichiro Hayano, Eiichi Watanabe, Haruhito Tanaka, Norihiro Ueda, Emi Yuda

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In heart failure, early detection of exacerbation is required to avoid unnecessary hospitalization. Although respiration instability detected by a respiration sensor attached to the bed at home has been proposed, detection by a more popular general sensor is desired. Using the fact that the frequency of respiratory sinus arrhythmia ({F}-{RSA}) reflects the frequency of breathing ({F}-{B}), we developed a method to estimate the instability of {F}-{B} by analyzing the instability of {F}-{RSA} only using R-R interval time series obtained from nighttime ECG. In 69 healthy control subjects, the fluctuation of {F}-{RSA} reduced to 6.8 \pm 3.9{\%} of local mean during sleep, while it remained 16.4\pm 7.7{\%} and 17.5 \pm 5.8{\%} in sinus rhythm patients with heart failure who survived for 38-mo follow-up period after recording (n = 52) and those died during the follow-up ({n}=29), respectively. {F}-{RSA} instability detected by ECG during sleep may be used as a feature to screen patients with heart failure.

Original languageEnglish
Title of host publication2020 11th Conference of the European Study Group on Cardiovascular Oscillations
Subtitle of host publicationComputation and Modelling in Physiology: New Challenges and Opportunities, ESGCO 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728157511
DOIs
Publication statusPublished - 07-2020
Event11th Conference of the European Study Group on Cardiovascular Oscillations, ESGCO 2020 - Virtual, Online, Italy
Duration: 15-07-2020 → …

Publication series

Name2020 11th Conference of the European Study Group on Cardiovascular Oscillations: Computation and Modelling in Physiology: New Challenges and Opportunities, ESGCO 2020

Conference

Conference11th Conference of the European Study Group on Cardiovascular Oscillations, ESGCO 2020
Country/TerritoryItaly
CityVirtual, Online
Period15-07-20 → …

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Modelling and Simulation
  • Cardiology and Cardiovascular Medicine
  • Health Informatics
  • Physiology (medical)
  • Instrumentation

Fingerprint

Dive into the research topics of 'Nocturnal Frequency Instability of Respiratory Sinus Arrhythmia in Heart Failure'. Together they form a unique fingerprint.

Cite this