HUMAN MODULATED HEART RATE VARIABILITY SIGNAL IN SPORTS USING MULTIFRACTAL ANALYSIS

Jie Chu, Mohammed Basheri () and Jianshe Wei
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Jie Chu: School of Physical Education and Sport, Henan University, Kaifeng 475004, P. R. China
Mohammed Basheri: ��Information Technology Department, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia
Jianshe Wei: School of Physical Education and Sport, Henan University, Kaifeng 475004, P. R. China

FRACTALS (fractals), 2022, vol. 30, issue 02, 1-12

Abstract: The purpose is to apply the multifractal analysis method to the research of human physiology in the process of sports. The mass index spectrum is used for multifractal analysis of heart rate variability signal based on the heart rate variability signal analysis theory and fractal theory. Finally, 10 healthy college students are selected as the experimental subjects. RAC-3003 portable electronic measuring instrument is used to collect heart rate signals in different exercise stages. Finally, the data are analyzed by R/S and Lo-R/S analysis methods. The results show that the lowest value of ln(R/S) is 3.1 and the highest value is 7.0 in different stages in the morning, and the lowest value is 3.3 and the highest value is 7.5 in different stages in the afternoon. The average value of random signal ln(R/S) gradually increases from 2.6 to 3.7; whether in the morning or in the afternoon, the average Hurst exponent during exercise is lower than that before and after exercise, and the average Hurst exponent after exercise is slightly higher than that before exercise; the long-range correlation index of heart rate variability signal in each exercise stage first increases and then decreases, and the changes of short-range correlation index and long-range correlation index are opposite; the average of fitting intercept of R/S curve is lower than that of Lo-R/S curve in the first and third stages; the fractal coefficient of the original data in the first and third stages of exercise is significantly higher than that in the second stage, which indicates that the overall fractal degree of heart rate variability signal before and after exercise is higher.

Keywords: Multifractality; Sports; Human Modulated Heart Rate Variability Signal; Fractal Coefficient (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1142/S0218348X22400874

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