23473
1998
1998
eng
article
1
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Cardiorespiratory Synchronization
The complex behaviour of cardiorespiratory dynamics is shown to be related to the interaction between several physiological oscillators. This study is based on electrocardiogram and respiratory flow data obtained from 3 different subjects during paced breathing at 10 different pacing cycle lengths ranging from 5 s to 12 s. Two different methods ideally suited for the analysis of synchronization pattern of coupled oscillators are applied: 1. Symbolic dynamics based on symbol coding adapted for the detection of respiratory modulation of cardiac parasympathetic activity discloses two regimes of different synchronization behaviour within the frequency area corresponding to the Arnold tongue of 1:1 frequency-locking between respiratory flow and respiratory heartbeat variation (respiratory sinus arrhythmia). 2. The analysis of the phase shift between respiratory flow and respiratory sinus arrhythmia indicates that synchronization is not a static but a dynamic phenomenon. The observed dependence of the phase shift on respiratory cycle length shows large inter-individual variation. These findings turn out to be further hints for the existence of an additional central oscillator in the frequency range of respiration interacting with the central respiratory oscillator driving mechanical respiration.
3-540-63481-9
allegro:1991-2014
10085280
Nonlinear analysis of physiological data / Hrsg.: Holger Kantz ; Jürgen Kurths ; Gottfried Mayer-Kress. - Berlin : Springer, 1998. - ISBN: 3-540-63481-9. - S. 191 - 209
Michael Schiek
Friedhelm R. Drepper
Ralf Engbert
Katrin Suder
Hans-Henning Abel
Institut für Physik und Astronomie
Institut für Physik
24927
1997
1997
eng
article
1
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Symbolic dynamics of physiological synchronisation : examples from bimanual movements and cardiorespiratory interaction
Key words: Nonlinear time series analysis, symbolic dynamics, phase transitions, physiological data, biological synchronization, production of polyrhythms, cardiorespiratory interaction, variation of control parameter
allegro:1991-2014
10085194
Nonlinear analysis : theory, methods and applications. - 30 (1997), 2, S. 973 - 984
Michael Schiek
Christian Scheffczyk
Ralf Engbert
Jürgen Kurths
Ralf-Thomas Krampe
Reinhold Kliegl
Friedhelm R. Drepper
Institut für Physik und Astronomie
Institut für Physik
Department Psychologie
Institut für Psychologie