Dresden 2011 – wissenschaftliches Programm

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DY: Fachverband Dynamik und Statistische Physik

DY 17: Nonlinear Dynamics I

DY 17.5: Vortrag

Mittwoch, 16. März 2011, 11:30–11:45, ZEU 255

Comparison of phase synchronization analysis methods in physiological data — •Anja Kuhnhold¹, Jan W. Kantelhardt¹, Aicko Y. Schumann^1,2, Axel Bauer³, Petra Bartel⁴, and Georg Schmidt⁴ — ¹Institut für Physik, MLU Halle-Wittenberg, Halle (Saale), Germany — ²Complexity Science Group, Dept. of Physics and Astronomy, Univ. of Calgary, Canada — ³Med. Klinik, Abt. Kardiologie und Kreislauferkrankungen, Universitätsklinikum Tübingen, Germany — ⁴1. Med. Klinik, Klinikum rechts der Isar, TU München, Germany

Phase synchronization between two weakly coupled oscillators occurs in many natural systems. Since it is difficult to unambiguously detect such synchronization in experimental data, several methods have been proposed for this purpose. Here, we systematically optimize and compare five approaches: the automated synchrogram method, the reduced synchrogram method, two variants of a very recently suggested gradient method, and the Fourier mode method. Studying real 24h data from 1455 patients recorded approximately one week after a myocardial infarction, real data with artificial inaccuracies, and corresponding surrogate data generated by Fourier phase randomization, we report characteristic differences as well as strengths and weaknesses of the five methods in detecting episodes of n:1 and n:2 cardio-respiratory phase synchronization. We also show that synchronization hardly depends on the patients’ age in our large data base. However, a strong 24h cycle occurs with drastically increased n:1 and n:2 synchronization observed during night time by all five methods.