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Baroreflex Coupling Assessed by Cross-Compression Entropy.

Andy Schumann1, Steffen Schulz2, Andreas Voss2

  • 1Psychiatric Brain and Body Research Group, Department of Psychiatry and Psychotherapy, University Hospital JenaJena, Germany.

Frontiers in Physiology
|May 26, 2017
PubMed
Summary
This summary is machine-generated.

Cross-compression entropy (CCE) quantifies physiological system interactions using data compression. This novel method effectively analyzes cardiovascular time series, distinguishing healthy individuals from those with schizophrenia and assessing physiological changes during exercise.

Keywords:
blood pressurecompressionentropyhandgripheart ratenon-linear dynamicsschizophreniasymbolization

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Area of Science:

  • Biomedical Research
  • Physiological Systems Analysis
  • Time Series Analysis

Background:

  • Estimating interactions between physiological systems is crucial in biomedical research.
  • Existing methods may struggle with short, noisy, or non-stationary physiological data.
  • Novel approaches are needed to quantify complex physiological couplings.

Purpose of the Study:

  • To introduce and validate cross-compression entropy (CCE) for quantifying information common in bivariate time series.
  • To assess the suitability of CCE for analyzing cardiovascular physiological coupling.
  • To compare CCE-based baroreflex sensitivity (CCEBRS) in healthy individuals and patients with acute schizophrenia.

Main Methods:

  • Transformed time series into symbol vectors for bivariate data analysis.
  • Utilized a modified ZIP data compression algorithm to calculate cross-compression entropy (CCE).
  • Derived uncoupled and linearly coupled surrogates from cardiovascular recordings for validation.

Main Results:

  • CCEBRS was significantly higher in original time series compared to uncoupled surrogates (89%) and linearly coupled surrogates (47%).
  • CCEBRS decreased during isometric handgrip exercise, reflecting sympathetic activation and reduced baroreflex sensitivity.
  • Patients with acute schizophrenia exhibited reduced CCEBRS compared to healthy controls, indicating altered blood pressure influence on heart rate.

Conclusions:

  • Cross-compression entropy (CCE) is a suitable method for investigating linear and non-linear coupling in cardiovascular time series.
  • CCE can effectively quantify causal interactions in challenging physiological data.
  • The findings highlight CCE's potential for clinical applications, such as in schizophrenia research.