Development of algorithm for work intensity evaluation using excess overwork index of construction workers with real-time heart rate measurement device.

IF 1.2 Q4 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Annals of Occupational and Environmental Medicine Pub Date : 2023-01-01 DOI:10.35371/aoem.2023.35.e24
Jae-Young Park, Jung Hwan Lee, Mo-Yeol Kang, Tae-Won Jang, Hyoung-Ryoul Kim, Se-Yeong Kim, Jongin Lee
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Abstract

Background: The construction workers are vulnerable to fatigue due to high physical workload. This study aimed to investigate the relationship between overwork and heart rate in construction workers and propose a scheme to prevent overwork in advance.

Methods: We measured the heart rates of construction workers at a construction site of a residential and commercial complex in Seoul from August to October 2021 and develop an index that monitors overwork in real-time. A total of 66 Korean workers participated in the study, wearing real-time heart rate monitoring equipment. The relative heart rate (RHR) was calculated using the minimum and maximum heart rates, and the maximum acceptable working time (MAWT) was estimated using RHR to calculate the workload. The overwork index (OI) was defined as the cumulative workload evaluated with the MAWT. An appropriate scenario line (PSL) was set as an index that can be compared to the OI to evaluate the degree of overwork in real-time. The excess overwork index (EOI) was evaluated in real-time during work performance using the difference between the OI and the PSL. The EOI value was used to perform receiver operating characteristic (ROC) curve analysis to find the optimal cut-off value for classification of overwork state.

Results: Of the 60 participants analyzed, 28 (46.7%) were classified as the overwork group based on their RHR. ROC curve analysis showed that the EOI was a good predictor of overwork, with an area under the curve of 0.824. The optimal cut-off values ranged from 21.8% to 24.0% depending on the method used to determine the cut-off point.

Conclusion: The EOI showed promising results as a predictive tool to assess overwork in real-time using heart rate monitoring and calculation through MAWT. Further research is needed to assess physical workload accurately and determine cut-off values across industries.

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基于实时心率测量装置的建筑工人过度劳累指标工作强度评价算法的开发。
背景:建筑工人由于高体力负荷而容易产生疲劳。本研究旨在探讨建筑工人过劳与心率的关系,并提出提前预防过劳的方案。方法:从2021年8月到10月,在首尔某商住两用园区的施工现场测量了施工工人的心率,并制定了实时监测过度工作的指数。共有66名韩国员工参加了这项研究,他们佩戴了实时心率监测设备。使用最小和最大心率计算相对心率(RHR),并使用RHR估计最大可接受工作时间(MAWT)来计算工作量。过度工作指数(OI)被定义为使用MAWT评估的累积工作负载。设置一个适当的场景线(PSL)作为一个指标,可以与OI进行比较,以实时评估过度工作的程度。利用OI和PSL之间的差异,在工作过程中实时评估过度工作指数(EOI)。利用EOI值进行受试者工作特征(ROC)曲线分析,寻找过劳状态分类的最佳截止值。结果:在分析的60名参与者中,28人(46.7%)根据他们的RHR被归类为过度工作组。ROC曲线分析显示,EOI是过度工作的良好预测因子,曲线下面积为0.824。根据确定分界点的方法,最佳分界值范围为21.8% ~ 24.0%。结论:通过心率监测和MAWT计算,EOI作为实时评估过度劳累的预测工具显示出良好的结果。需要进一步的研究来准确评估物理工作量并确定各行业的临界值。
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来源期刊
Annals of Occupational and Environmental Medicine
Annals of Occupational and Environmental Medicine PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH-
CiteScore
1.90
自引率
0.00%
发文量
25
审稿时长
16 weeks
期刊介绍: Annals of Occupational and Environmental Medicine (AOEM) is an open access journal that considers original contributions relevant to occupational and environmental medicine and related fields, in the form of original articles, review articles, short letters and case reports. AOEM is aimed at clinicians and researchers working in the wide-ranging discipline of occupational and environmental medicine. Topic areas focus on, but are not limited to, interactions between work and health, covering occupational and environmental epidemiology, toxicology, hygiene, diagnosis and treatment of diseases, management, organization and policy. As the official journal of the Korean Society of Occupational and Environmental Medicine (KSOEM), members and authors based in the Republic of Korea are entitled to a discounted article-processing charge when they publish in AOEM.
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