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Correlation between ECG and Cardiac Cycle01:25

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Entropy Analysis of COVID-19 Cardiovascular Signals.

Dragana Bajić1, Vlado Đajić2, Branislav Milovanović3,4

  • 1Faculty of Technical Sciences, University of Novi Sad, Novi Sad 21000, Serbia.

Entropy (Basel, Switzerland)
|January 13, 2021
PubMed
Summary

COVID-19 can cause cardiovascular problems by disrupting the cardiac autonomic nervous system (ANS). Entropy measures reveal significant differences in ANS function between healthy individuals and COVID-19 patients, indicating potential disease severity markers.

Keywords:
COVID-19composite multiscale entropycopuladependency structuressample entropy

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Area of Science:

  • Cardiology
  • Computational Biology
  • Infectious Diseases

Background:

  • The coronavirus (COVID-19) outbreak has led to significant cardiovascular complications.
  • The precise mechanisms by which COVID-19 affects the cardiac autonomic nervous system (ANS) remain unclear.
  • Understanding these mechanisms requires advanced multidimensional analysis of cardiovascular signals and patient data.

Purpose of the Study:

  • To investigate various entropy measures as potential dimensions for analyzing cardiovascular data in COVID-19 patients.
  • To identify entropy-based markers that differentiate between COVID-19 patients and healthy controls.
  • To explore entropy measures for distinguishing between different severity levels of COVID-19.

Main Methods:

  • Analysis of heart rate and systolic blood pressure signals from 116 COVID-19 patients and 77 healthy controls.
  • Application of diverse entropy measures, including sample entropy, symbolic dynamics entropy, and copula parameters.
  • Utilizing statistical methods to identify significant differences between groups.

Main Results:

  • Sample entropy on transformed probability signals, common symbolic dynamics entropy, and copula parameters showed statistically significant differences between COVID-19 patients and healthy controls.
  • Cross-entropies of heart rate and systolic pressure signals revealed statistical significance between severe and mild COVID-19 cases.
  • These findings suggest a link between COVID-19 severity and ANS dysfunction.

Conclusions:

  • Entropy measures can effectively differentiate cardiovascular autonomic nervous system (ANS) function in COVID-19 patients compared to healthy individuals.
  • Specific entropy metrics show promise in assessing COVID-19 disease severity.
  • Further research into ANS dysfunction in COVID-19 is warranted, utilizing these advanced analytical approaches.