DECODING THE CORRELATION AMONG LEG MUSCLE AND BRAIN ACTIVATIONS IN DIFFERENT BODY MOVEMENTS

Janarthanan Ramadoss, Karthikeyan Rajagopal, Norazryana Mat Dawi, Hamidreza Namazi and Najmeh Pakniyat
Additional contact information
Janarthanan Ramadoss: Centre for Artificial Intelligence, Chennai Institute of Technology, India
Karthikeyan Rajagopal: Centre for Nonlinear Systems, Chennai Institute of Technology, India
Norazryana Mat Dawi: 525 West 8th Avenue, Vancouver, Canada
Hamidreza Namazi: School of Engineering, Monash University, Selangor, Malaysia5Incubator of Kinanthropology Research, Faculty of Sports Studies, Masaryk University, Czech Republic6College of Engineering and Science, Victoria University, Melbourne, Australia
Najmeh Pakniyat: 30 Shore Breeze Drive, Toronto, ON, Canada M8V 0J1, Canada

FRACTALS (fractals), 2022, vol. 30, issue 04, 1-9

Abstract: We investigated the correlation among brain and leg muscle activations by analyzing Electroencephalogram (EEG) and Electromyogram (EMG) signals in different conditions. Twelve subjects performed four tasks, including (1) quarter turns, (2) U-turns, (3) bypass obstacles, and (4) repeating quarter turns and U-turns two times. Then, we quantified the alterations of the complexity of these signals by computing the fractal dimension and sample entropy. The results showed that EEG and EMG signals in the case of the first task are more complex than the second task, in which they are more complex than the third task. Furthermore, the brain and muscle signals show the least complexity in the case of the fourth task. Moreover, we found strong correlations in the variations of fractal dimension (r = 0.9835) and sample entropy (r = 0.9168) between EEG and EMG signals in various tasks. Therefore, brain and muscle activations are strongly correlated in different tasks. Similar analyses can be conducted in the case of other organs to decode their correlations.

Keywords: Brain; Muscle; Complexity; Fractal Dimension; Sample Entropy; Correlation (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.worldscientific.com/doi/abs/10.1142/S0218348X22501201
Access to full text is restricted to subscribers

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wsi:fracta:v:30:y:2022:i:04:n:s0218348x22501201

Ordering information: This journal article can be ordered from

DOI: 10.1142/S0218348X22501201

Access Statistics for this article

FRACTALS (fractals) is currently edited by Tara Taylor

More articles in FRACTALS (fractals) from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().