Manuscript Title:

DETRENDED FRACTAL ANALYSIS OF DYNAMICS IN NON-LINEAR DOMAIN FOR HRV WHILE PERFORMING GRADED CYCLING EXERCISE

Author:

PALLAV DUTTA, ANANYA BANERJEE, MOUPALI ROY, ARNIMA DAS, BANSIBADAN MAJI, ANILESH DEY

DOI Number:

DOI:10.17605/OSF.IO/6C47D

Published : 2022-05-23

About the author(s)

1. PALLAV DUTTA - Assistant Professor in Electrical Engineering Department, Narula Institute of Technology, India.
2. ANANYA BANERJEE - Assistant professor Computer Science Engineering Department, Narula Institute of Technology.
3. MOUPALI ROY - Assistant Professor in Electronics and Communication Engineering Department, Narula Institute of Technology, India.
4. ARNIMA DAS - Assistant Professor in Electronics and Communication Engineering Department, Narula Institute of Technology, India.
5. BANSIBADAN MAJI - Professor in Electronics and Communication Engineering Department, National Institute of Technology, Durgapur, India.
6. ANILESH DEY - Associate Professor and HOD in Electronics and Communication Engineering Department, Narula Institute of Technology, India.

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Abstract

In the past few years, various Cardio-vascular models have been implemented to analyse muscular fatigue due to exercise. Heart rate variability measurement has been found to be a perfect analytical measure for the analysis of autonomic nervous systems. Dynamics of non-linear HRV complexity and variability can be analysed in case of increased exercise intensity is examined in this study and Detrended Fluctuation Analysis (DFA) is found to be the perfect technique to apply for this situation which deals with the correlation properties of the of heart rate. Twenty-two cyclists performed a simulated exercise que on a bicycle simulator. Correlation characters of heart rate and fractal determination of Heart Rate Variability were analysed using scaling of short term exponent alpha1 of Detrended Fractal Analysis (DFA). HRV complexity and amplitude showed a considerable decrease. Alpha1 showed a considerable increase while the cyclists performed gradually from rest to low exercise. These characteristics reversed completely and showed almost a linear decrease from higher intensities of exercise till the point of exhaustion. The quality of change in heart rate in case of self-organized regulation during the change from rest to low intensity exercise which is supported by the analysis too. While on the other end high ends dominated by the non-autonomic heart rate control while it reached towards the breakdown.


Keywords

HRV, Detrended Fractal Analysis (DFA) Non-linear.