Entropy, 2023 · DOI: https://doi.org/10.3390/e25020281 · Published: February 2, 2023
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.
The findings may allow for early diagnosis of alterations in circulatory regulation due to disease.
The entropy estimators could be used to monitor the dynamics of the cardiovascular system during treatments or rehabilitation programs.
Understanding the different aspects of HRV complexity and randomness could lead to more personalized treatment approaches.