Coupling patterns between spontaneous rhythms and respiration in cardiovascular variability signals

We performed a quantitative study of coupling patterns between respiration and spontaneous rhythms of heart rate and blood pressure variability signals by using the Recurrence Quantification Analysis (RQA). We applied RQA to both simulated and experimental data obtained in control breathing at three...

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Bibliographic Details
Published in:Computer methods and programs in biomedicine 2002-04, Vol.68 (1), p.37-47
Main Authors: Censi, F, Calcagnini, G, Cerutti, S
Format: Article
Language:English
Subjects:
Analysis of Variance
Autonomic nervous system
Autonomic Nervous System - physiology
Biological and medical sciences
Blood Pressure
Cardiorespiratory synchronization
Computational Biology
Electrocardiography. Vectocardiography
Electrodiagnosis. Electric activity recording
Heart Rate
Humans
Investigative techniques of respiratory function
Investigative techniques, diagnostic techniques (general aspects)
Medical sciences
Non-linear coupling
Periodicity
Recurrence quantification analysis
Respiration
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Summary:We performed a quantitative study of coupling patterns between respiration and spontaneous rhythms of heart rate and blood pressure variability signals by using the Recurrence Quantification Analysis (RQA). We applied RQA to both simulated and experimental data obtained in control breathing at three different frequencies (0.25, 0.20, and 0.13 Hz) from ten normal subjects. RQA succeeded in quantifying different degrees of non-linear coupling associated to several interference patterns. We found higher degrees of non-linear coupling when the respiratory frequency was close to the spontaneous Low Frequency (LF) rhythm (0.13 Hz), or almost twice the LF frequency (0.2 Hz), whereas weaker coupling was observed when the respiratory frequency was 0.25 Hz. Clinical applications of our approach should focus on new experimental protocols, featuring the stimulation of one of the two branches of the autonomic nervous system (ANS) or aimed at the analysis of pathologies linked to the ANS.
ISSN:0169-2607
1872-7565
DOI:10.1016/S0169-2607(01)00158-4