| Autor: |
Mohammad Ahmed, Michael Grillo, Amirtaha Taebi, Mehmet Kaya, Peshala Thibbotuwawa Gamage |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
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| Zdroj: |
BioMedInformatics, Vol 4, Iss 2, Pp 1047-1058 (2024) |
| Druh dokumentu: |
article |
| ISSN: |
2673-7426 |
| DOI: |
10.3390/biomedinformatics4020058 |
| Popis: |
Introduction: This study analyzes the efficacy of trapezius muscle electromyography (EMG) in discerning mental states, namely stress and meditation. Methods: Fifteen healthy participants were monitored to assess their physiological responses to mental stressors and meditation. Sensors were affixed to both the right and left trapezius muscles to capture EMG signals, while simultaneous electroencephalography (EEG) was conducted to validate cognitive states. Results: Our analysis of various EMG features, considering frequency ranges and sensor positioning, revealed significant changes in trapezius muscle activity during stress and meditation. Notably, low-frequency EMG features facilitated enhanced stress detection. For accurate stress identification, sensor configurations can be limited to the right trapezius muscle. Furthermore, the introduction of a novel method for determining asymmetry in EMG features suggests that applying sensors on bilateral trapezius muscles can improve the detection of mental states. Conclusion: This research presents a promising avenue for efficient cognitive state monitoring through compact and convenient sensing. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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