Cardiovascular Reactivity (CVR) During Repetitive Work in the Presence of Fatigue

Diogo Carvalho, Luís Silva, Miguel A. F. Carvalho, Mariana Dias, Nelson Costa, Duarte Folgado, Maria Lua Nunes, Hugo Gamboa, Kristine Andza, E. Edelman
{"title":"Cardiovascular Reactivity (CVR) During Repetitive Work in the Presence of\n Fatigue","authors":"Diogo Carvalho, Luís Silva, Miguel A. F. Carvalho, Mariana Dias, Nelson Costa, Duarte Folgado, Maria Lua Nunes, Hugo Gamboa, Kristine Andza, E. Edelman","doi":"10.54941/ahfe1002833","DOIUrl":null,"url":null,"abstract":"Fatigue during repetitive tasks in the workplace has been intrinsically\n connected with occupational risk and a reduction in productivity. Currently,\n the measures taken are based on subjective interpretations of fatigue by the\n workers or on direct muscular activity, which then make up for a cumulative\n evaluation of fatigue. The concept of “Industry 4.0” wearable devices would\n allow a continuous monitoring and thus, a more realistic representation of\n their fatigue levels.Aim: To quantify heart rate variability, measuring\n cardiovascular responsiveness, during repetitive work when fatigue is\n present. Tasks: A protocol was developed to simulate a real-life workplace\n scenario with a set of low-intensity repetitive tasks that are commonly\n practiced. The signals obtained were then processed, and heart rate\n variability was calculated using fractal analysis and time domain variables.\n Hypothesis: It was hypothesized that 1) the amount of variability and 2) the\n structure of variability will change during repetitive work in the presence\n of fatigue.Methodology: Participants were asked to perform three 10-minute\n trials of a repetitive task. Between each trial, a muscular fatigue protocol\n was carried out, targeting the main agonist muscle. An ECG was collected\n during the trials (Baseline, Fatigue 1, and Fatigue 2) through a wearable\n band placed on the level of the xiphoid appendix. Results: The nonlinearity\n of the heart rate variability showed no statistically significant changes,\n unlike the time domain measures that significantly differentiated the\n baseline trial from the fatigue trials, namely the Standard Deviation of NN\n intervals, the Root Mean Square of successive RR interval differences,\n Coefficient of Variation, and Heart Rate itself. Conclusions: These results\n are enthusiastic for applying algorithms that use heart rate variability to\n quantify cardiovascular responsiveness to fatigue during repetitive work.\n They show that with information in the time domain, it is possible to verify\n physiological changes that the worker is undergoing. Additionally, these\n changes are also related to the amount of variability and not to the fractal\n structure of heart rate variability.","PeriodicalId":269162,"journal":{"name":"Proceedings of the 6th International Conference on Intelligent Human Systems Integration (IHSI 2023) Integrating People and Intelligent Systems, February 22–24, 2023, Venice, Italy","volume":"2 ","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 6th International Conference on Intelligent Human Systems Integration (IHSI 2023) Integrating People and Intelligent Systems, February 22–24, 2023, Venice, Italy","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.54941/ahfe1002833","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Fatigue during repetitive tasks in the workplace has been intrinsically connected with occupational risk and a reduction in productivity. Currently, the measures taken are based on subjective interpretations of fatigue by the workers or on direct muscular activity, which then make up for a cumulative evaluation of fatigue. The concept of “Industry 4.0” wearable devices would allow a continuous monitoring and thus, a more realistic representation of their fatigue levels.Aim: To quantify heart rate variability, measuring cardiovascular responsiveness, during repetitive work when fatigue is present. Tasks: A protocol was developed to simulate a real-life workplace scenario with a set of low-intensity repetitive tasks that are commonly practiced. The signals obtained were then processed, and heart rate variability was calculated using fractal analysis and time domain variables. Hypothesis: It was hypothesized that 1) the amount of variability and 2) the structure of variability will change during repetitive work in the presence of fatigue.Methodology: Participants were asked to perform three 10-minute trials of a repetitive task. Between each trial, a muscular fatigue protocol was carried out, targeting the main agonist muscle. An ECG was collected during the trials (Baseline, Fatigue 1, and Fatigue 2) through a wearable band placed on the level of the xiphoid appendix. Results: The nonlinearity of the heart rate variability showed no statistically significant changes, unlike the time domain measures that significantly differentiated the baseline trial from the fatigue trials, namely the Standard Deviation of NN intervals, the Root Mean Square of successive RR interval differences, Coefficient of Variation, and Heart Rate itself. Conclusions: These results are enthusiastic for applying algorithms that use heart rate variability to quantify cardiovascular responsiveness to fatigue during repetitive work. They show that with information in the time domain, it is possible to verify physiological changes that the worker is undergoing. Additionally, these changes are also related to the amount of variability and not to the fractal structure of heart rate variability.
疲劳状态下重复性工作中的心血管反应性
在工作场所重复性任务中的疲劳与职业风险和生产力下降有着内在的联系。目前,采取的措施是基于工人对疲劳的主观解释或直接的肌肉活动,然后对疲劳进行累积评估。“工业4.0”可穿戴设备的概念将允许持续监测,从而更真实地表示他们的疲劳水平。目的:量化心率变异性,测量心血管反应,在重复性工作时,疲劳存在。任务:开发了一个协议来模拟真实的工作场所场景,其中包含一组通常练习的低强度重复任务。然后对得到的信号进行处理,利用分形分析和时域变量计算心率变异性。假设:假设1)可变性的数量和2)可变性的结构会在疲劳存在的重复性工作中发生变化。研究方法:参与者被要求进行三次10分钟的重复性任务试验。在每次试验之间,进行针对主要激动剂肌肉的肌肉疲劳方案。在试验期间(基线、疲劳1和疲劳2),通过放置在剑状阑尾水平的可穿戴带收集心电图。结果:心率变异性的非线性没有统计学上的显著变化,不像时域测量,即NN区间的标准差、连续RR区间差的均方根、变异系数和心率本身,显著区分基线试验和疲劳试验。结论:这些结果对使用心率变异性的算法来量化重复性工作中心血管对疲劳的反应非常有帮助。他们表明,有了时域的信息,就有可能验证工人正在经历的生理变化。此外,这些变化也与变异性的数量有关,而与心率变异性的分形结构无关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信