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  4. Sample, Fuzzy and Distribution Entropies of Heart Rate Variability: What Do They Tell Us on Cardiovascular Complexity?

Sample, Fuzzy and Distribution Entropies of Heart Rate Variability: What Do They Tell Us on Cardiovascular Complexity?

Entropy, 2023 · DOI: https://doi.org/10.3390/e25020281 · Published: February 2, 2023

Cardiovascular ScienceBioinformatics

Simple Explanation

This study compares different methods of measuring the complexity of heart rate variability (HRV). It looks at Sample Entropy (SampEn), Fuzzy Entropy (FuzzyEn), and Distribution Entropy (DistEn). The study analyzes how these measures change with postural changes (sitting vs. supine) and in individuals with spinal cord injuries (SCI). Postural changes are expected to primarily affect the randomness of HRV, while SCI may alter the underlying cardiovascular complexity. The findings suggest that DistEn measures cardiovascular complexity, while SampEn and FuzzyEn measure HRV randomness. Using these methods together provides a more complete understanding of cardiovascular dynamics.

Study Duration
Not specified
Participants
14 SCI individuals and 34 able-bodied controls
Evidence Level
Not specified

Key Findings

  • 1
    DistEn is affected by spinal cord lesions but not by postural changes, suggesting it measures cardiovascular complexity.
  • 2
    SampEn and FuzzyEn are affected by postural changes but not spinal cord lesions, suggesting they measure HRV randomness.
  • 3
    Multiscale analysis reveals differences between AB and SCI sitting participants at larger mFE scales and between postures in AB participants at shorter mSE scales.

Research Summary

This study explores the nature of information on heart rate variability (HRV) provided by Distribution Entropy (DistEn) compared to Sample Entropy (SampEn) and Fuzzy Entropy (FuzzyEn) over multiple scales. The study uses two experimental conditions: postural changes (expected to modify HRV randomness) and low-level spinal cord injuries (SCI, expected to alter system complexity). The results suggest that DistEn measures cardiovascular complexity, while SampEn and FuzzyEn measure HRV randomness, highlighting that together these methods integrate the information each of them provides.

Practical Implications

Early Diagnosis of Circulatory Issues

The findings may allow for early diagnosis of alterations in circulatory regulation due to disease.

Monitoring Cardiovascular Dynamics

The entropy estimators could be used to monitor the dynamics of the cardiovascular system during treatments or rehabilitation programs.

Personalized Medicine

Understanding the different aspects of HRV complexity and randomness could lead to more personalized treatment approaches.

Study Limitations

  • 1
    Relatively small number of enrolled SCI participants, in particular, female participants.
  • 2
    Some medications could not be suspended in SCI participants, potentially influencing results.
  • 3
    The study design did not allow for direct manipulation of autonomic nervous system activity.

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