Design of flexible polyimide-based serpentine EMG sensor for AI-enabled fatigue detection in construction
Physical fatigue and musculoskeletal disorders are critical health issues for construction workers, stemming from repetitive motions, heavy lifting, and awkward postures. These factors compromise worker well-being, productivity, and safety while increasing the risk of accidents and long-term health...
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| Format: | Article |
| Language: | English |
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Elsevier
2024-12-01
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| Series: | Sensing and Bio-Sensing Research |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214180424000953 |
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| _version_ | 1846136446404001792 |
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| author | Yogesh Gautam Houtan Jebelli |
| author_facet | Yogesh Gautam Houtan Jebelli |
| author_sort | Yogesh Gautam |
| collection | DOAJ |
| description | Physical fatigue and musculoskeletal disorders are critical health issues for construction workers, stemming from repetitive motions, heavy lifting, and awkward postures. These factors compromise worker well-being, productivity, and safety while increasing the risk of accidents and long-term health problems. Recent advancements in wearable health monitoring technology offer potential solutions, but current sensors encounter significant challenges in the dynamic construction environment. These include inadequate skin contact, increased contact impedance, and vulnerability to motion artifacts all of which degrade signal quality and reduce the accuracy of fatigue detection. This paper develops a fractal-based, flexible sensor for enhanced adaptability and accurate fatigue estimation. Finite element analysis compared five space-filling designs, with the serpentine curve exhibiting the highest contact area and lowest strain, making it the preferred choice for fabrication. Evaluations demonstrated significant improvements in signal-to-noise ratio (SNR) and motion artifact reduction, with the newly developed sensor achieving a 37 % to 59 % SNR improvement over commercial electrodes across different muscle groups. The developed flexible sensor was integrated with a fatigue-detecting framework based on a vision transformer model which provided an average accuracy of 87 % for fatigue detection. The developed sensor significantly enhances EMG signal quality and reliability, promising improved health monitoring and safety for construction workers. |
| format | Article |
| id | doaj-art-1cfd285256834f88934a9c994541da9a |
| institution | Kabale University |
| issn | 2214-1804 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Sensing and Bio-Sensing Research |
| spelling | doaj-art-1cfd285256834f88934a9c994541da9a2024-12-09T04:27:30ZengElsevierSensing and Bio-Sensing Research2214-18042024-12-0146100713Design of flexible polyimide-based serpentine EMG sensor for AI-enabled fatigue detection in constructionYogesh Gautam0Houtan Jebelli1Department Civil and Environmental Engineering, University of Illinois Urbana-Campaign, Champaign, IL, United States of AmericaCorresponding author.; Department Civil and Environmental Engineering, University of Illinois Urbana-Campaign, Champaign, IL, United States of AmericaPhysical fatigue and musculoskeletal disorders are critical health issues for construction workers, stemming from repetitive motions, heavy lifting, and awkward postures. These factors compromise worker well-being, productivity, and safety while increasing the risk of accidents and long-term health problems. Recent advancements in wearable health monitoring technology offer potential solutions, but current sensors encounter significant challenges in the dynamic construction environment. These include inadequate skin contact, increased contact impedance, and vulnerability to motion artifacts all of which degrade signal quality and reduce the accuracy of fatigue detection. This paper develops a fractal-based, flexible sensor for enhanced adaptability and accurate fatigue estimation. Finite element analysis compared five space-filling designs, with the serpentine curve exhibiting the highest contact area and lowest strain, making it the preferred choice for fabrication. Evaluations demonstrated significant improvements in signal-to-noise ratio (SNR) and motion artifact reduction, with the newly developed sensor achieving a 37 % to 59 % SNR improvement over commercial electrodes across different muscle groups. The developed flexible sensor was integrated with a fatigue-detecting framework based on a vision transformer model which provided an average accuracy of 87 % for fatigue detection. The developed sensor significantly enhances EMG signal quality and reliability, promising improved health monitoring and safety for construction workers.http://www.sciencedirect.com/science/article/pii/S2214180424000953Flexible sensorFatigue detectionVision transformerMotion artifactElectromyography (EMG) |
| spellingShingle | Yogesh Gautam Houtan Jebelli Design of flexible polyimide-based serpentine EMG sensor for AI-enabled fatigue detection in construction Sensing and Bio-Sensing Research Flexible sensor Fatigue detection Vision transformer Motion artifact Electromyography (EMG) |
| title | Design of flexible polyimide-based serpentine EMG sensor for AI-enabled fatigue detection in construction |
| title_full | Design of flexible polyimide-based serpentine EMG sensor for AI-enabled fatigue detection in construction |
| title_fullStr | Design of flexible polyimide-based serpentine EMG sensor for AI-enabled fatigue detection in construction |
| title_full_unstemmed | Design of flexible polyimide-based serpentine EMG sensor for AI-enabled fatigue detection in construction |
| title_short | Design of flexible polyimide-based serpentine EMG sensor for AI-enabled fatigue detection in construction |
| title_sort | design of flexible polyimide based serpentine emg sensor for ai enabled fatigue detection in construction |
| topic | Flexible sensor Fatigue detection Vision transformer Motion artifact Electromyography (EMG) |
| url | http://www.sciencedirect.com/science/article/pii/S2214180424000953 |
| work_keys_str_mv | AT yogeshgautam designofflexiblepolyimidebasedserpentineemgsensorforaienabledfatiguedetectioninconstruction AT houtanjebelli designofflexiblepolyimidebasedserpentineemgsensorforaienabledfatiguedetectioninconstruction |