Search results for: transcript entropy

• Detecting coupling directions with transcript mutual information: A comparative study

  Publication

  • J. Amigó
  • B. Graff
  • G. Graff
  • R. Monetti
  • K. Tessmer

  - DISCRETE AND CONTINUOUS DYNAMICAL SYSTEMS-SERIES B - Year 2019

  Causal relationships are important to understand the dynamics of coupled processes and, moreover, to influence or control the effects by acting on the causes. Among the different approaches to determine cause-effect relationships and, in particular, coupling directions in interacting random or deterministic processes, we focus in this paper on information-theoretic measures. So, we study in the theoretical part the difference between...

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• Computing algebraic transfer entropy and coupling directions via transcripts

  Publication

  • J. Amigó
  • R. Monetti
  • B. Graff
  • G. Graff

  - CHAOS - Year 2016

  Most random processes studied in nonlinear time series analysis take values on sets endowed with a group structure, e.g., the real and rational numbers, and the integers. This fact allows to associate with each pair of group elements a third element, called their transcript, which is defined as the product of the second element in the pair times the first one. The transfer entropy of two such processes is called algebraic transfer...

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• Cross-validation for triplets of HRV and BPV indices based on ordinal patterns in differentiating OSA patients from healthy controls

  Open Research Data

  open access

  • P. Pilarczyk
  • G. Graff
  • J. Amigó
  • K. Tessmer
  • K. Narkiewicz
  • B. Graff

  - series: Differentiating OSA patients from healthy controls using heart rate and blood pressure variability

  Results of cross-validation for triplets of HRV and BPV indices based on ordinal patterns, as described in the paper “Differentiating patients with obstructive sleep apnea from healthy controls based on heart rate–blood pressure coupling quantified by entropy-based indices” by P. Pilarczyk, G. Graff, J.M. Amigó, K. Tessmer, K. Narkiewicz, B. Graff.

• HRV and BPV indices in differentiating OSA patients from healthy controls

  Open Research Data

  open access

  • P. Pilarczyk
  • G. Graff
  • J. Amigó
  • K. Tessmer
  • K. Narkiewicz
  • B. Graff

  - series: Differentiating OSA patients from healthy controls using heart rate and blood pressure variability

  The various HRV and BPV indices computed for the purpose of the analyses described in the paper “Differentiating patients with obstructive sleep apnea from healthy controls based on heart rate–blood pressure coupling quantified by entropy-based indices” by P. Pilarczyk, G. Graff, J.M. Amigó, K. Tessmer, K. Narkiewicz, and B. Graff.