Application of Paper-Based Wearable Electronics (PBWE) for Objective Assessment of Fatigue in Lower Back of Construction Workers
Publication: Construction Research Congress 2024
ABSTRACT
Wearable sensors proposed to measure fatigue in construction have shortcomings such as cumbersome size, high cost, flexibility, and high noise-to-amplitude ratio. Hence, this article demonstrates the use of inexpensive paper-based wearable electronics (PBWE) for predicting fatigue in the lower back of construction workers without compromising skin breathability or the natural motions of the wearer and with a low noise-to-amplitude ratio. Five subjects were recruited to participate in a simulated manual lifting activity in the form of a repetitive lifting task while measuring their physiological conditions using paper-based wearable electronics, EMG, and off-the-shelf optical heart rate monitors. Analysis of variance (ANOVA) was employed for this study. The BORG scale was also used to assess the fatigue level of the participants subjectively. The noise-to-amplitude ratio of the paper-based wearable electronics (PBWE) was significantly lower than that of the EMG by about 4.5 times. The analysis produced p-values less than 0.05, implying a significant change in the fatigue level after carrying out the repetitive lifting task from the base value. The findings imply that paper-based wearable electronics are portable and reliable devices that can predict physical fatigue and have excellent potential to improve the safety of construction workers on a construction site.
Get full access to this article
View all available purchase options and get full access to this chapter.
REFERENCES
Aniket, P., Debkalpa, G., Hugo E. C., Beatriz, C., Shihuan, K., and Ramses, V. M. (2018). Early detection and monitoring of chronic wounds using low-cost, omniphobic paper-based smart bandages. Biosensors and Bioelectronics, 117, 696–705. https://doi.org/10.1016/j.bios.2018.06.060.
Antwi-Afari, M. F., Li, H., Edwards, D. J., Pärn, E. A., Seo, J., and Wong, A. Y. L. (2017). Biomechanical analysis of risk factors for work-related musculoskeletal disorders during repetitive lifting task in construction workers. Automation in Construction, 83, 41–47. https://doi.org/10.1016/j.autcon.2017.07.007.
Aryal, A., Ghahramani, A., and Becerik-Gerber, B. (2017). Monitoring fatigue in construction workers using physiological measurements. Automation in Construction, 82, 154–165. https://doi.org/10.1016/J.AUTCON.2017.03.003
Borg, G. A. (1982). “Psychophysical bases of perceived exertion.” Medicine & science in sports & exercise.
Fang, D., Jiang, Z., Zhang, M., and Wang, H. (2015). An experimental method to study the effect fatigue on construction workers’ safety performance. Safety Science, 73, 80–91. https://doi.org/10.1016/J.SSCI.2014.11.019
Jebelli, H., and Lee, S. (2019). Feasibility of Wearable Electromyography (EMG) to Assess Construction Workers’ Muscle Fatigue. In Advances in Informatics and Computing in Civil and Construction Engineering. https://doi.org/10.1007/978-3-030-00220-6_22.
Li, X., Guo, Y., Meng, J., Li, X., Li, M., and Gao, D. (2022). Self-Powered Carbon Ink/Filter Paper Flexible Humidity Sensor Based on Moisture-Induced Voltage Generation. Langmuir, 38(27), 8232–8240. https://doi.org/10.1021/acs.langmuir.2c00566.
Liu, S. H., Lin, C. B., Chen, Y., Chen, W., Huang, T. S., and Hsu, C. Y. (2019). An EMG patch for the real-time monitoring of muscle-fatigue conditions during exercise. Sensors (Switzerland), 19(14). https://doi.org/10.3390/s19143108.
Sadri, B., Abete, A. M., and Martinez, R. V. (2019). Simultaneous electrophysiological recording and self-powered biosignal monitoring using epidermal, nanotexturized, triboelectronic devices. Nanotechnology, 30(27). https://doi.org/10.1088/1361-6528/ab10e9.
Schneider, S. P. (2001). Musculoskeletal injuries in construction: A review of the literature. In Applied Occupational and Environmental Hygiene (Vol. 16, Issue 11, pp. 1056–1064). https://doi.org/10.1080/104732201753214161.
Shagle, N. S., et al. (2021). Design and fabrication of paper-based stretchable sensor for respiration monitoring. Proceedings of IEEE Sensors, 2021-October. https://doi.org/10.1109/SENSORS47087.2021.9639648.
Tang, Q., Guo, H., Yan, P., and Hu, C. (2020). Recent progresses on paper-based triboelectric nanogenerator for portable self-powered sensing systems. In EcoMat (Vol. 2, Issue 4). John Wiley and Sons Inc. https://doi.org/10.1002/eom2.12060.
Zhang, M., Sparer, E. H., Murphy, L. A., Dennerlein, J. T., Fang, D., Katz, J. N., and Caban-Martinez, A. J. (2015). Development and validation of a fatigue assessment scale for U.S. construction workers. American Journal of Industrial Medicine, 58(2), 220–228. https://doi.org/10.1002/ajim.22411.
Information & Authors
Information
Published In
History
Published online: Mar 18, 2024
ASCE Technical Topics:
- Business management
- Construction costs
- Construction engineering
- Construction management
- Construction sites
- Employment
- Engineering fundamentals
- Environmental engineering
- Equipment and machinery
- Fatigue (material)
- Labor
- Material mechanics
- Material properties
- Materials engineering
- Noise pollution
- Occupational safety
- Personnel management
- Pollution
- Practice and Profession
- Probe instruments
- Project management
- Public administration
- Public health and safety
- Safety
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.