title: Coupling patterns between spontaneous rhythms and respiration in cardiovascular variability signals.
abstract: 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.
authors.affiliation: Department of Computer and System Sciences, University of Rome La Sapienza Via Nino Martoglio 5, 00137, Italy. censi@dis.uniromal.it
authors.forename: F
authors.initials: F
authors.lastname: Censi
authors.forename: G
authors.initials: G
authors.lastname: Calcagnini
authors.forename: S
authors.initials: S
authors.lastname: Cerutti
mesh_terms: D000704:Analysis of Variance; D001341:Autonomic Nervous System / Q000502:physiology; D001794:Blood Pressure; D019295:Computational Biology; D006339:Heart Rate; D006801:Humans; D010507:Periodicity; D012119:Respiration