DECODING OF THE EXTRAOCULAR MUSCLES ACTIVATIONS BY COMPLEXITY-BASED ANALYSIS OF ELECTROMYOGRAM (EMG) SIGNALS

Sridevi Sriram, Karthikeyan Rajagopal, Ondrej Krejcar and Hamidreza Namazi
Additional contact information
Sridevi Sriram: Centre for Computational Biology, Chennai Institute of Technology, Chennai 600069, Tamil Nadu, India
Karthikeyan Rajagopal: ��Centre for Nonlinear Systems, Chennai Institute of Technology, Chennai 600069, Tamil Nadu, India
Ondrej Krejcar: ��Center for Basic and Applied Research, Faculty of Informatics and Management, University of Hradec Kralove, 50003, Hradec Kralove, Czechia§Department of Biomedical Engineering and Measurement, Faculty of Mechanical Engineering, Technical University of Kosice, Slovakia
Hamidreza Namazi: ��Center for Basic and Applied Research, Faculty of Informatics and Management, University of Hradec Kralove, 50003, Hradec Kralove, Czechia¶School of Engineering, Monash University, Malaysia

FRACTALS (fractals), 2024, vol. 32, issue 03, 1-9

Abstract: The analysis of extraocular muscles’ activation is crucial for understanding eye movement patterns, providing insights into oculomotor control, and contributing to advancements in fields such as vision research, neurology, and biomedical engineering. Ten subjects went through the experiments, including normal watching, blinking, upward and downward movements of eyes, and eye movements to the left and right while their electromyogram (EMG) signals were recorded. We analyzed the complexity of recorded EMG signals using fractal theory, sample entropy, and approximate entropy (ApEn). The results showed that the techniques are able to decode the changes in the complexity of EMG signals between different eye movements. In other words, we can use these methods to study extraocular muscle activations in different conditions.

Keywords: Extraocular Muscles Activations; Electromyogram (EMG) Signals; Fractal Theory; Sample Entropy; Approximate Entropy; Complexity (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.worldscientific.com/doi/abs/10.1142/S0218348X24500671
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:32:y:2024:i:03:n:s0218348x24500671

Ordering information: This journal article can be ordered from

DOI: 10.1142/S0218348X24500671

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 ().