Symbolic analysis of heart rate fluctuations identifies cardiac autonomic modifications during LPS-induced endotoxemia

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

Heart Rate Signal Decomposition

2000 ◽  
Vol 39 (02) ◽  
pp. 200-203
Author(s):  
H. Mizuta ◽  
K. Yana
Keyword(s):  
Blood Pressure ◽  
Heart Rate ◽  
Pressure Change ◽  
Normal Subjects ◽  
Signal Decomposition ◽  
Large Individual ◽  
Heart Rate Fluctuations ◽  
Type Pattern ◽  
Signal Cancellation ◽  
Pressure Changes

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.

Estimation of Heart Rate Variability Fluctuations by Wavelet Transform

2011 ◽  
Vol 57 (3) ◽  
pp. 395-400 ◽  
Author(s):  
Anton Popov ◽  
Yevgeniy Karplyuk ◽  
Volodymyr Fesechko
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Wavelet Transform ◽  
Experimental Results ◽  
Dyadic Wavelet ◽  
Heart Rate Fluctuations ◽  
Slow Heart Rate ◽  
Dyadic Wavelet Transform

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.

Correlated and Uncorrelated Regions in Heart-Rate Fluctuations during Sleep

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

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 ◽  
...  
Keyword(s):  
Heart Rate ◽  
Respiratory Rhythm ◽  
Heart Rate Fluctuations ◽  
Lower Frequencies

Quantitative analysis of respiratory sinus arrhythmia during heart rate fluctuations

1995 ◽  
Vol 56 (1-2) ◽  
pp. 142
Author(s):  
Ikuo Isogai ◽  
Shigeru Kageyama ◽  
Kazuo Aihara ◽  
Yukihide Isogai ◽  
Fusao Katoh
Keyword(s):  
Heart Rate ◽  
Quantitative Analysis ◽  
Respiratory Sinus Arrhythmia ◽  
Sinus Arrhythmia ◽  
Heart Rate Fluctuations

scholarly journals Association between Attention and Heart Rate Fluctuations in Pathological Worriers

2016 ◽  
Vol 10 ◽  
Author(s):  
Simone Gazzellini ◽  
Maria Dettori ◽  
Francesca Amadori ◽  
Barbara Paoli ◽  
Antonio Napolitano ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Fluctuations

ESTIMATING THE COMPLEXITY OF HEART RATE FLUCTUATIONS — AN APPROACH BASED ON COMPRESSION ENTROPY

2005 ◽  
Vol 05 (04) ◽  
pp. L557-L563 ◽  
Author(s):  
MATHIAS BAUMERT ◽  
VICO BAIER ◽  
ANDREAS VOSS ◽  
LARS BRECHTEL ◽  
JENS HAUEISEN
Keyword(s):  
Heart Rate ◽  
Information Theoretic ◽  
Control Loops ◽  
Training Camp ◽  
Regulatory Processes ◽  
Original Length ◽  
Heart Rate Fluctuations ◽  
Algorithmic Information ◽  
Entropy Reduction ◽  
Symbol Sequences

Heart rate exhibits spontaneous fluctuations that are mainly modulated by control loops within the autonomic nervous system. Assessing the dynamics of heart rate fluctuations can provide valuable information about regulatory processes and patho-physiological behavior. In this paper heart rate fluctuations and its entropy are assessed using an algorithmic information theoretic concept applying a data compressor. First, the beat-to-beat fluctuations of heart rate are binary coded for decreases and increases, respectively. Subsequently, those symbol sequences are compressed using the LZ77 algorithm. The ratio of the length of the compressed sequences to the original length is used as an estimate of entropy. We investigated the compressibility of heart rate fluctuations in athletes before, during, and after a training camp. Heart rate time series were obtained from ECGs recorded over 30 minutes under supine resting conditions. We found a significant entropy reduction during the training camp, reflecting the effects of physical fatigue. In conclusion, the compression entropy seems to be a suitable approach to assess the complexity of heart rate fluctuations.

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