TY - GEN
T1 - Nocturnal Frequency Instability of Respiratory Sinus Arrhythmia in Heart Failure
AU - Hayano, Junichiro
AU - Watanabe, Eiichi
AU - Tanaka, Haruhito
AU - Ueda, Norihiro
AU - Yuda, Emi
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/7
Y1 - 2020/7
N2 - 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.
AB - 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.
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U2 - 10.1109/ESGCO49734.2020.9158175
DO - 10.1109/ESGCO49734.2020.9158175
M3 - Conference contribution
AN - SCOPUS:85091089087
T3 - 2020 11th Conference of the European Study Group on Cardiovascular Oscillations: Computation and Modelling in Physiology: New Challenges and Opportunities, ESGCO 2020
BT - 2020 11th Conference of the European Study Group on Cardiovascular Oscillations
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 11th Conference of the European Study Group on Cardiovascular Oscillations, ESGCO 2020
Y2 - 15 July 2020
ER -