Heart rate fluctuations of lower frequencies than the respiratory rhythm but caused by it

1995 ◽  
Vol 429 (4) ◽  
pp. 455-461 ◽  
Author(s):  
Ulrich Zwiener ◽  
Bodo L�thke ◽  
Reinhard Bauer ◽  
Dirk Hoyer ◽  
Annette Richter ◽  
...  
2000 ◽  
Vol 39 (02) ◽  
pp. 200-203
Author(s):  
H. Mizuta ◽  
K. Yana

Abstract:This paper proposes a method for decomposing heart rate fluctuations into background, respiratory and blood pressure oriented fluctuations. A signal cancellation scheme using the adaptive RLS algorithm has been introduced for canceling respiration and blood pressure oriented changes in the heart rate fluctuations. The computer simulation confirmed the validity of the proposed method. Then, heart rate fluctuations, instantaneous lung volume and blood pressure changes are simultaneously recorded from eight normal subjects aged 20-24 years. It was shown that after signal decomposition, the power spectrum of the heart rate showed a consistent monotonic 1/fa type pattern. The proposed method enables a clear interpretation of heart rate spectrum removing uncertain large individual variations due to the respiration and blood pressure change.


2011 ◽  
Vol 57 (3) ◽  
pp. 395-400 ◽  
Author(s):  
Anton Popov ◽  
Yevgeniy Karplyuk ◽  
Volodymyr Fesechko

Estimation of Heart Rate Variability Fluctuations by Wavelet TransformTechnique for separate estimation of fast and slow fluctuations in the heart rate signal is developed. The orthogonal dyadic wavelet transform is used to separate the slow heart rate changes in approximation part of decomposition and fast changes in detail parts. Experimental results using the recordings from persons practicing Chi meditation demonstrated the applicability of estimation heart rate fluctuations with the proposed approach.


2021 ◽  
Author(s):  
Mateusz Soliński ◽  
Agnieszka Pawlak ◽  
Monika Petelczyc ◽  
Teodor Buchner ◽  
Joanna Aftyka ◽  
...  

Abstract SARS-Cov-2 infection, due to inflammation processes, can affect autonomic nervous system and heart rate variability (HRV) even after disease. Previous studies showed significant changes in HRV parameters in severe (including fatal) infection of SARS-Cov-2. However, HRV analysis for the asymptomatic or mild-symptomatic Covid-19 patients have not been reported. In this study, we suggested that there is an influence of a SARS-Cov-2 infection on the HRV in such patients after weeks form disease.Sixty-five ECG Holter recordings from young (mean age 22.6 ± 3.4 years), physically fit male subjects after 4-6 weeks from the second negative test (considered to be the beginning of recovery) and twenty-six control male subjects (mean age 23.2 ± 2.9 years) were considered in the study. Night-time RR time series were extracted from ECG signals. Selected linear, frequency as well as nonlinear HRV parameters were calculated. We found significant differences in Porta’s symbolic analysis parameters V0 and V2 (p<0.001), α2 (p<0.001), very low frequency component (VLF; p=0.022), and respiratory peak (from PRSA method; p=0.012). These differences may be caused by the changes of the parasympathetic autonomic nervous system as well as by the coupling of respiratory rhythm with heart rate due to an increase in pulmonary arterial vascular resistance.The results suggest that the changes in the HRV, thus autonomic nervous system, are measurable after a few weeks from the beginning of the recovery even in the post-Covid group of young and physically active population. We indicated HRV sensitive markers which could be used in the long-term monitoring of recovered patients.


2000 ◽  
Vol 85 (17) ◽  
pp. 3736-3739 ◽  
Author(s):  
Armin Bunde ◽  
Shlomo Havlin ◽  
Jan W. Kantelhardt ◽  
Thomas Penzel ◽  
Jörg-Hermann Peter ◽  
...  

2019 ◽  
Vol 221 ◽  
pp. 102577 ◽  
Author(s):  
José Javier Reyes-Lagos ◽  
Claudia Ivette Ledesma-Ramírez ◽  
Martin Hadamitzky ◽  
Miguel Ángel Peña-Castillo ◽  
Juan C. Echeverría ◽  
...  

1995 ◽  
Vol 56 (1-2) ◽  
pp. 142
Author(s):  
Ikuo Isogai ◽  
Shigeru Kageyama ◽  
Kazuo Aihara ◽  
Yukihide Isogai ◽  
Fusao Katoh

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