Modifications of the non-linear parameters of the heart rate variability related to the systematic practice of physical exercise

Introduction: In recent years, the relationship between the systematic practice of physical exercise, cardiovascular dynamics and the functioning of the autonomic nervous system has been recognized. Objective: To determine the modifications that non-linear parameters undergo in the autonomic cardiovascular regulation of the heart rate variability with the systematic practice of physical exercise. Methods: A retrospective cohort analytical study was conducted from February 2016 to August 2018. Population and sample: 36 individuals (Group 1: 18 high- performance baseball athletes; Group 2: 18 medical students). The data were collected in the Biomedical Basic Sciences Laboratory at Medical school 1, University of Santiago de Cuba, through the 8-channel PowerLab polygraph, and stored using the Kubios Software version 3.0.4 Premium. Results: Statistically significant differences between means were found in heart rate values (p = 0.000); SD1 (p = 0.025); SD2/SD1 ratio (p = 0.007); sample entropy (p = 0.011); short-term fluctuations α 1 (p = 0.019); mean line length (p = 0.016); max line length (p = 0.001); recurrence rate (p = 0.034); determinism (p = 0.010) and Shannon entropy (p = 0.015). The parameters of SD1 (C = 0.906) and sample entropy (C = 0.712) were significantly associated with a heart rate ≤ 70 beats per minute. Conclusions: With the systematic practice of physical exercise, the non-linear parameters of the autonomic cardiovascular regulation of the heart rate variability undergoes modifications that respond to a better adaptability of the autonomic nervous system, and to a greater capacity to regulate cardiovascular function(AU)

A Scoring Method for Quantitative Assessment of Cardiovascular Health Status Based on Non-linear Parameters / 航天医学与医学工程

Objective To study a scoring method for assessing function status of cardiovascular system quantitatively. Methods First, exercise heart rate variability (EHRV) was obtained from the primary dynamic electrocardiogram (ECG) recorded during exercise testing. Then appropriate entropy, relative complexity, and other three parameters extracted from poincare dispersed-dot plot were extracted from the EHRV. Discriminant analysis was used to classify two extreme groups.Results Based on the values of two groups from the discriminant formula, a scoring formula was proposed and four ranks were divided according to different score domains. A novel scoring method was established. To validate the proposed scoring method, 60 middle-aged hypertensives, 50 elder subjects and 110 young healthy subjects were examined and scored. Conclusion Scores of 220 subjects are consistent with their real health status. The proposed scoring method reflects the status of the subject's cardiovascular system effectively.