HRV Analysis: Unpredictability of Approximate Entropy in Chronic Obstructive Pulmonary Disease

Introduction: Approximate entropy (ApEn) is a widely imposed metric to evaluate chaotic response and irregularities of RR-intervals from an electrocardiogram. Yet, the technique problematic due accurate choice tolerance (r) embedding dimension (M). We prescribed these responses in subjects exhibiting symptoms chronic obstructive pulmonary disease (COPD) we strived overcome this disadvantage by applying different groupings detect optimal. Methods: examined 38 split equally: COPD control. To autonomic modulation heart rate was measured beat-by-beat for 30 min supine position without any physical, sensory, or pharmacological stimuli. In time-series obtained ApEn then applied with set values tolerance, r dimension, M. Then, differences between two groups their effect size measures (Cohen’s ds Hedges’s gs) were computed. Results: The highest value statistical significance accomplished combinations undertaken -1.13 Cohen’s ds, -1.10 gs M = 2 0.1. Conclusion: capable optimally identifying decrease COPD. optimal combination 0.1 2, respectively. Despite this, relatively unpredictable mathematical marker use other techniques healthy pathological condition encouraged.