DECODING THE CORRELATION BETWEEN BRAIN AND HEART ACTIVATIONS IN THE COMBINATION OF MENTAL WORKLOAD AND PHYSICAL ACTIVITY

Janarthanan Ramadoss, Najmeh Pakniyat, Karthikeyan Rajagopal and Hamidreza Namazi
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Janarthanan Ramadoss: Centre for Artificial Intelligence, Chennai Institute of Technology, Chennai, India
Najmeh Pakniyat: 30 Shore Breeze Drive, Toronto, ON, Canada M8V 0J1, Canada
Karthikeyan Rajagopal: Centre for Nonlinear Systems, Chennai Institute of Technology, Chennai, India
Hamidreza Namazi: Incubator of Kinanthropology Research, Faculty of Sports Studies, Masaryk University, Czech Republic5College of Engineering and Science, Victoria University, Melbourne, Australia6School of Engineering, Monash University, Selangor, Malaysia

FRACTALS (fractals), 2022, vol. 30, issue 04, 1-10

Abstract: Decoding of the coupling among the brain and heart activations is an important research area in network physiology. We studied the coupling of brain and heart activations for 48 subjects who performed the NASA Revised Multi-Attribute Task Battery II under three different activity level conditions. During the experiment, the physical activity of subjects was manipulated by changing the speed of a stationary bike (including no movement, 50rpm, and 70rpm) or a treadmill (including no movement, 3km/h, and 5km/h), while their physiological signals were recorded. We analyzed the complex structure of electroencephalogram (EEG) and R-R signals using fractal theory and sample entropy. The results demonstrated that the alterations of the complex structures of EEG and R-R signals are strongly correlated, which indicates the coupling between brain and heart activations. This method of analysis can be applied to evaluate the coupling between different organs.

Keywords: Heart; Brain; Complexity; Fractal Dimension; Correlation; Sample Entropy (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1142/S0218348X22501195

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