Literature DB >> 16383525

Visualization of coupling in time series by order recurrence plots.

Andreas Groth1.   

Abstract

We introduce a method to visualize dependencies between two time series by applying the concept of cross recurrence plots to the local ordinal structure. We derive a measure of the coupling strength which is robust against observational noise, nonlinear distortion of the amplitude, and low-frequency trends. Connections to the instantaneous phase and the determination of phase coupling of two coupled Rössler systems in the standard and funnel regimes are shown. An application to electroencephalogram data demonstrates that the method is robust with respect to artifacts.

Year:  2005        PMID: 16383525     DOI: 10.1103/PhysRevE.72.046220

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  9 in total

1.  Order patterns recurrence plots in the analysis of ERP data.

Authors:  Stefan Schinkel; Norbert Marwan; Jürgen Kurths
Journal:  Cogn Neurodyn       Date:  2007-07-31       Impact factor: 5.082

Review 2.  Ordinal symbolic analysis and its application to biomedical recordings.

Authors:  José M Amigó; Karsten Keller; Valentina A Unakafova
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2015-02-13       Impact factor: 4.226

3.  Multiscale ordinal network analysis of human cardiac dynamics.

Authors:  M McCullough; M Small; H H C Iu; T Stemler
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2017-06-28       Impact factor: 4.226

4.  Multi-scale order recurrence quantification analysis of EEG signals evoked by manual acupuncture in healthy subjects.

Authors:  Guosheng Yi; Jiang Wang; Hongrui Bian; Chunxiao Han; Bin Deng; Xile Wei; Huiyan Li
Journal:  Cogn Neurodyn       Date:  2012-09-26       Impact factor: 5.082

5.  Detection of seizure rhythmicity by recurrences.

Authors:  Mary Ann F Harrison; Mark G Frei; Ivan Osorio
Journal:  Chaos       Date:  2008-09       Impact factor: 3.642

6.  Order Patterns Networks (ORPAN)-a method to estimate time-evolving functional connectivity from multivariate time series.

Authors:  Stefan Schinkel; Gorka Zamora-López; Olaf Dimigen; Werner Sommer; Jürgen Kurths
Journal:  Front Comput Neurosci       Date:  2012-11-07       Impact factor: 2.380

7.  Constructing ordinal partition transition networks from multivariate time series.

Authors:  Jiayang Zhang; Jie Zhou; Ming Tang; Heng Guo; Michael Small; Yong Zou
Journal:  Sci Rep       Date:  2017-08-10       Impact factor: 4.379

8.  EEG Based Monitoring of General Anesthesia: Taking the Next Steps.

Authors:  Matthias Kreuzer
Journal:  Front Comput Neurosci       Date:  2017-06-22       Impact factor: 2.380

9.  Permutation entropy in intraoperative ECoG of brain tumour patients in awake tumour surgery- a robust parameter to separate consciousness from unconsciousness.

Authors:  Nicole Lange; Sophia Schleifer; Maria Berndt; Ann-Kathrin Jörger; Arthur Wagner; Sandro M Krieg; Denis Jordan; Martin Bretschneider; Yu-Mi Ryang; Bernhard Meyer; Jens Gempt
Journal:  Sci Rep       Date:  2019-11-11       Impact factor: 4.379

  9 in total

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