Selection of wearable sensor measurements for monitoring and managing entry-level construction worker fatigue: a logistic regression approach

Author:

Lee WonilORCID,Lin Ken-Yu,Johnson Peter W.,Seto Edmund Y.W.

Abstract

PurposeThe identification of fatigue status and early intervention to mitigate fatigue can reduce the risk of workplace injuries. Off-the-shelf wearable sensors capable of assessing multiple parameters are available. However, using numerous variables in the fatigue prediction model can elicit data issues. This study aimed at identifying the most relevant variables for measuring occupational fatigue among entry-level construction workers by using common wearable sensor technologies, such as electrocardiogram and actigraphy sensors.Design/methodology/approachTwenty-two individuals were assigned different task workloads in repeated sessions. Stepwise logistic regression was used to identify the most parsimonious fatigue prediction model. Heart rate variability measurements, standard deviation of NN intervals and power in the low-frequency range (LF) were considered for fatigue prediction. Fast Fourier transform and autoregressive (AR) analysis were employed as frequency domain analysis methods.FindingsThe log-transformed LF obtained using AR analysis is preferred for daily fatigue management, whereas the standard deviation of normal-to-normal NN is useful in weekly fatigue management.Research limitations/implicationsThis study was conducted with entry-level construction workers who are involved in manual material handling activities. The findings of this study are applicable to this group.Originality/valueThis is the first study to investigate all major measures obtainable through electrocardiogram and actigraphy among current mainstream wearables for monitoring occupational fatigue in the construction industry. It contributes knowledge on the use of wearable technology for managing occupational fatigue among entry-level construction workers engaged in material handling activities.

Publisher

Emerald

Subject

General Business, Management and Accounting,Building and Construction,Architecture,Civil and Structural Engineering

Reference78 articles.

1. Physiological demands during construction work;Journal of Construction Engineering and Management,2002

2. A new look at the statistical model identification;IEEE Transactions on Automatic Control,1974

3. Monitoring fatigue in construction workers using physiological measurements;Automation in Construction,2017

4. Monitoring worker fatigue using wearable devices: a case study to detect changes in gait parameters;Journal of Quality Technology,2019

5. Heart rate variability, blood pressure variability, and baroreflex sensitivity in overtrained athletes;Clinical Journal of Sport Medicine,2006

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3