Title :
Synchronization in noisy systems and cardiorespiratory interaction
Author :
Rosenblum, M.G. ; Kurths, Jürgen ; Pikovsky, Arkady ; Schafer, Carsten ; Tass, Peter ; Abel, Hans-Henning
Author_Institution :
Dept. of Phys., Potsdam Univ., Germany
Abstract :
In this article, we restrict ourselves to an understanding of the synchronization phenomenon as an adjustment of rhythms of two weakly interacting self-sustained oscillators. We describe a unified approach to synchronization of noisy and chaotic systems and demonstrate that this approach can be used to address the inverse problem of identification of the presence of weak interaction between natural systems from bivariate data. In this way, we reveal the presence of weak interactions between the human cardiovascular and respiratory systems.
Keywords :
biocontrol; cardiovascular system; chaos; neurophysiology; noise; nonlinear dynamical systems; physiological models; pneumodynamics; statistical analysis; synchronisation; time series; bivariate data; cardiorespiratory interaction; chaotic systems; human cardiovascular system; human respiratory system; identification; inverse problem; natural systems; noisy systems; rhythm adjustment; synchronization; two weakly interacting self-sustained oscillators; unified approach; weak interaction; Cardiology; Chaos; Frequency synchronization; Heart; Humans; Oscillators; Phase noise; Respiratory system; Rhythm; Ventilation; Adolescent; Algorithms; Female; Fourier Analysis; Heart; Heart Rate; Humans; Lung; Male; Models, Biological; Models, Cardiovascular; Nonlinear Dynamics; Oscillometry; Reproducibility of Results; Respiration; Signal Processing, Computer-Assisted; Stochastic Processes; Time Factors;
Journal_Title :
Engineering in Medicine and Biology Magazine, IEEE
