TY  - JOUR
A1  - Wessel, Niels
A1  - Marwan, Norbert
A1  - Meyerfeldt, Udo
A1  - Schirdewan, Alexander
A1  - Kurths, Jürgen
T1  - Recurrence quantification analysis to characterise the heart rate variability before the onset of ventricular tachycardia
N2  - Ventricular tachycardia or fibrillation (VT) as fatal cardiac arrhythmias are the main factors triggering sudden cardiac death. The objective of this recurrence quantification analysis approach is to find early signs of sustained VT in patients with an implanted cardioverter-defibrillator (ICD). These devices are able to safeguard patients by returning their hearts to a normal rhythm via strong defibrillatory shocks; additionally, they are able to store at least 1000 beat-to-beat intervals immediately before the onset of a life-threatening arrhythmia. We study the
Y1  - 2001
UR  - http://link.springer.de/link/service/series/0558/bibs/2199/21990295.htm
ER  - 
TY  - JOUR
A1  - Marwan, Norbert
A1  - Nowaczyk, Norbert R.
A1  - Kurths, Jürgen
A1  - Thiel, Marco
T1  - Cross recurrence plot based rescaling of geological time series
N2  - The rescaling of geological data series to a geological reference time series is of major interest in many investigations. For example, geophysical borehole data should be correlated to a given data series whose time scale is known in order to achieve an age-depth function or the sedimentation rate for the borehole data. Usually this synchronization is performed visually and by hand. Instead of using this wiggle matching by eye, we present the application of cross recurrence plots for such tasks. Using this method, the synchronization and rescaling of geological data to a given time scale is much easier and faster than by hand.
Y1  - 2001
SN  - 1029-7006
ER  - 
TY  - JOUR
A1  - Marwan, Norbert
A1  - Kurths, Jürgen
T1  - Nonlinear analysis of bivariate data with cross recurrence plots
N2  - We use the extension of the method of recurrence plots to cross recurrence plots (CRP) which enables a nonlinear analysis of bivariate data. To quantify CRPs, we develop further three measures of complexity mainly basing on diagonal structures in CRPs. The CRP analysis of prototypical model systems with nonlinear interactions demonstrates that this technique enables to find these nonlinear interrelations from bivariate time series, whereas linear correlation tests do not. Applying the CRP analysis to climatological data, we find a complex relationship between rainfall and El Nino data.
Y1  - 2001
UR  - http://arxiv.org/abs/physics/0201061
ER  -