Sweat Analysis-Based Fatigue Monitoring during Construction Rebar Bending TasksSource: Journal of Construction Engineering and Management:;2023:;Volume ( 149 ):;issue: 009::page 04023072-1Author:Jie Ma
,
Heng Li
,
Xinge Yu
,
Xin Fang
,
Bo Fang
,
Zeyu Zhao
,
Xingcan Huang
,
Shahnawaz Anwer
,
Xuejiao Xing
DOI: 10.1061/JCEMD4.COENG-13233Publisher: ASCE
Abstract: This study proposes a novel approach to monitor the fatigue levels of construction rebar benders by measuring chemical biomarkers using sweat sensors. Fatigue resulting from dehydration and energy depletion can severely endanger the safety and health of construction workers. Sodium, lactate, glucose, and sweat rate were chosen as detectable biomarkers in this study, as their concentrations can indicate hydration status, energy consumption, and electrolyte balance, making them suitable for fatigue monitoring. The results were used to construct a fatigue model using supervised machine learning approaches. Construction rebar experiments were conducted while the sweat-based biosensors were applied to rebar workers to evaluate their fatigue with five different classifiers, demonstrating accuracy rates ranging from 71.43% to 96.43%. The results suggested that sweat-based biomarkers offer a noninvasive and accessible fatigue monitoring alternative. This can potentially help alleviate fatigue-related adverse ill effects like dehydration or cramping by enabling instant fluid or nutrient supply recommendations during construction manual tasks. It also provides valuable insights into the physiological effects of rebar work. Besides, this study presents a valuable model for predicting workers’ fatigue levels, which could be applied in the construction industry to improve workers’ safety and productivity. Furthermore, the study highlights the importance of maintaining appropriate hydration, nutrition, and electrolyte balance during physically demanding tasks like construction manual work. The study demonstrates that sweat biomarkers, including sweat rate, sodium, lactate, and glucose, can be utilized to assess fatigue among construction rebar workers. Sweat biosensors offer advantages of small size and non-invasiveness, making them suitable for a wide range of scenarios in both the construction industry and sports fields. Moreover, sweat rate and sodium levels can indicate hydration status, and their measurements can be used to recommend immediate fluid intake. Also, lactate and glucose are essential resources that sustain the body, and their measurements can suggest appropriate nutritional intake. These instant recommendations can alleviate the adverse effects of fatigue, consequently reducing fatigue levels. Thus, it is a promising methodology for enhancing the health and safety of the construction industry. In addition, the results of the study will be shared with construction companies, allowing them to introspect fatigue development and chalk out further interventions and policies to manage fatigue effectively.
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contributor author | Jie Ma | |
contributor author | Heng Li | |
contributor author | Xinge Yu | |
contributor author | Xin Fang | |
contributor author | Bo Fang | |
contributor author | Zeyu Zhao | |
contributor author | Xingcan Huang | |
contributor author | Shahnawaz Anwer | |
contributor author | Xuejiao Xing | |
date accessioned | 2023-11-27T23:16:19Z | |
date available | 2023-11-27T23:16:19Z | |
date issued | 6/19/2023 12:00:00 AM | |
date issued | 2023-06-19 | |
identifier other | JCEMD4.COENG-13233.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4293436 | |
description abstract | This study proposes a novel approach to monitor the fatigue levels of construction rebar benders by measuring chemical biomarkers using sweat sensors. Fatigue resulting from dehydration and energy depletion can severely endanger the safety and health of construction workers. Sodium, lactate, glucose, and sweat rate were chosen as detectable biomarkers in this study, as their concentrations can indicate hydration status, energy consumption, and electrolyte balance, making them suitable for fatigue monitoring. The results were used to construct a fatigue model using supervised machine learning approaches. Construction rebar experiments were conducted while the sweat-based biosensors were applied to rebar workers to evaluate their fatigue with five different classifiers, demonstrating accuracy rates ranging from 71.43% to 96.43%. The results suggested that sweat-based biomarkers offer a noninvasive and accessible fatigue monitoring alternative. This can potentially help alleviate fatigue-related adverse ill effects like dehydration or cramping by enabling instant fluid or nutrient supply recommendations during construction manual tasks. It also provides valuable insights into the physiological effects of rebar work. Besides, this study presents a valuable model for predicting workers’ fatigue levels, which could be applied in the construction industry to improve workers’ safety and productivity. Furthermore, the study highlights the importance of maintaining appropriate hydration, nutrition, and electrolyte balance during physically demanding tasks like construction manual work. The study demonstrates that sweat biomarkers, including sweat rate, sodium, lactate, and glucose, can be utilized to assess fatigue among construction rebar workers. Sweat biosensors offer advantages of small size and non-invasiveness, making them suitable for a wide range of scenarios in both the construction industry and sports fields. Moreover, sweat rate and sodium levels can indicate hydration status, and their measurements can be used to recommend immediate fluid intake. Also, lactate and glucose are essential resources that sustain the body, and their measurements can suggest appropriate nutritional intake. These instant recommendations can alleviate the adverse effects of fatigue, consequently reducing fatigue levels. Thus, it is a promising methodology for enhancing the health and safety of the construction industry. In addition, the results of the study will be shared with construction companies, allowing them to introspect fatigue development and chalk out further interventions and policies to manage fatigue effectively. | |
publisher | ASCE | |
title | Sweat Analysis-Based Fatigue Monitoring during Construction Rebar Bending Tasks | |
type | Journal Article | |
journal volume | 149 | |
journal issue | 9 | |
journal title | Journal of Construction Engineering and Management | |
identifier doi | 10.1061/JCEMD4.COENG-13233 | |
journal fristpage | 04023072-1 | |
journal lastpage | 04023072-12 | |
page | 12 | |
tree | Journal of Construction Engineering and Management:;2023:;Volume ( 149 ):;issue: 009 | |
contenttype | Fulltext |