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.