Adamov, Luna and Petrovic, Bojan and Milic, Lazar and Strbac, Vojin and Kojic, Sanja and Joseph, Karunan and Stojanovic, Goran M. (2025) Comparative analysis of electrical signals in facial expression muscles. BioMedical Engineering OnLine, 24 (1). p. 17. ISSN 1475-925X, DOI https://doi.org/10.1186/s12938-025-01350-3.
Full text not available from this repository.Abstract
BackgroundFacial expression muscles serve a fundamental role in the orofacial system, significantly influencing the overall health and well-being of an individual. They are essential for performing basic functions such as speech, chewing, and swallowing. The purpose of this study was to determine whether surface electromyography could be used to evaluate the health, function, or dysfunction of three facial muscles by measuring their electrical activity in healthy people. Additionally, to ascertain whether pattern recognition and artificial intelligence may be used for tasks that differ from one another.ResultsThe study included 24 participants and examined three muscles (m. Orbicularis Oris, m. Zygomaticus Major, and m. Mentalis) during five different facial expressions. Prior to thorough statistical analysis, features were extracted from the acquired electromyographs. Finally, classification was done with the use of logistic regression, random forest classifier and linear discriminant analysis. A statistically significant difference in muscle activity amplitudes was demonstrated between muscles, enabling the tracking of individual muscle activity for diagnostic and therapeutic purposes. Additionally other time domain and frequency domain features were analyzed, showing statistical significance in differentiation between muscles as well. Examples of pattern recognition showed promising avenues for further research and development.ConclusionSurface electromyography is a useful method for assessing the function of facial expression muscles, significantly contributing to the diagnosis and treatment of oral motor function disorders. Results of this study show potential for further research and development in this field of research.
| Item Type: | Article |
|---|---|
| Funders: | European Union's Horizon Europe Research and Innovation Programme, Science Fund of the Republic of Serbia (GRANT 7295) ; (101086348) |
| Uncontrolled Keywords: | Facial expression muscles; Electromyography; Oral motor function; Orofacial system; Pattern recognition |
| Subjects: | T Technology > T Technology (General) T Technology > TA Engineering (General). Civil engineering (General) |
| Divisions: | Faculty of Engineering Faculty of Engineering > Department of Biomedical Engineering |
| Depositing User: | Ms. Juhaida Abd Rahim |
| Date Deposited: | 30 Apr 2025 04:12 |
| Last Modified: | 30 Apr 2025 04:12 |
| URI: | http://eprints.um.edu.my/id/eprint/47888 |
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