Fatigue and recovery during and after static loading

Rose, Linda M.; Neumann, Patrick; Hägg, Göran M; Kenttä, Göran

doi:10.1080/00140139.2014.952347

Cited by 28 publications

(19 citation statements)

References 51 publications

(56 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Thus, based on the data presented in [31], the FA is a monotonically increasing function of F, which means that . It is obvious that and consequently is correct in the range of loading level tested in [31] which are in agreement with those observed in disassembly operations. It means that FA is a monotonically increasing function of E.…”

Section: Proof Of Hypothesismentioning

confidence: 94%

“…A consequence of Hypothesis 1 is that the mechanical energy will monotonically increase with the increase of force level. The results in [31] …”

Section: Proof Of Hypothesismentioning

confidence: 95%

“…In order to model work-recovery ratios for optimizing the recovery time during tasks, Rose et al [31] presented data from empirical study regarding how maximal pushing force, endurance time, resumption time and perceived discomfort vary with loading level and loading time. During the tests, subjects were asked to perform two trials which each of them includes a loading and recovery trial.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Disassembly task evaluation by muscle fatigue estimation in a virtual reality environment

Chen

Mitrouchev

Coquillart

et al. 2016

Int J Adv Manuf Technol

View full text Add to dashboard Cite

Today disassembly operations play a very important role during the initial design phase of industrial products considering the role played by these operations throughout the Product Life-Cycle (PLC). The available disassembly evaluation methods seldom make disassembly as the preferred end-of-life solution for the reuse of parts or components in an economically sustainable way. This paper deals with a new method for disassembly sequences evaluation by muscle fatigue and metabolic energy expenditure estimation. It is based on four hypothesizes for building the equivalence between the metabolic energy expenditure of the human arm during disassembly operation simulation and corresponding muscle fatigue developed in the operator's arm muscles. For this purpose, the mechanical energy expenditure on operator's arm is involved to evaluate the possible disassembly sequences. The proposed method is validated by a set of experimental tests performed in a Virtual Reality environment. The results of the analysis and findings show that the mechanical energy expenditure can be used to evaluate the disassembly sequence by considering the human muscle fatigue factor while performing disassembly operation simulation.

show abstract

Section: Proof Of Hypothesismentioning

confidence: 94%

“…A consequence of Hypothesis 1 is that the mechanical energy will monotonically increase with the increase of force level. The results in [31] …”

Section: Proof Of Hypothesismentioning

confidence: 95%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Disassembly task evaluation by muscle fatigue estimation in a virtual reality environment

Chen

Mitrouchev

Coquillart

et al. 2016

Int J Adv Manuf Technol

View full text Add to dashboard Cite

show abstract

“…In this paper the same experience-based definition of ET and resumption time (RT) is used, as by Rose et al (2014). The instructions to the participants were: 'The endurance time is when you would stop working if this was your work task, given that you strongly want to continue the task to accomplish an amount of work over the day and get the job done, but when, due to very strong discomfort, pain or fatigue (almost max), you choose to take a pause. '…”

Section: Methodsmentioning

confidence: 99%

“…Reported insufficiencies of existing endurance and recovery models (e.g. El ahrache, Imbeau, and Farbos 2006;Perez et al 2014;Rose et al 2014;Nussbaum 2015b, 2017) include: (i) Models use the time to regain maximum force generating capacity in defining the recovery time (e.g. Frey Law and Avin 2010), although no tentative relationship between the maximum force generating capacity and MSDs has been supported by any study results.…”

Section: Introductionmentioning

confidence: 97%

Modelling endurance and resumption times for repetitive one-hand pushing

2018

Self Cite

View full text Add to dashboard Cite

This study's objective was to develop models of endurance time (ET), as a function of load level (LL), and of resumption time (RT) after loading as a function of both LL and loading time (LT) for repeated loadings. Ten male participants with experience in construction work each performed 15 different one-handed repetaed pushing tasks at shoulder height with varied exerted force and duration. These data were used to create regression models predicting ET and RT. It is concluded that power law relationships are most appropriate to use when modelling ET and RT. While the data the equations are based on are limited regarding number of participants, gender, postures, magnitude and type of exerted force, the paper suggests how this kind of modelling can be used in job design and in further research. Practitioner Summary: Adequate muscular recovery during work-shifts is important to create sustainable jobs. This paper describes mathematical modelling and presents models for endurance times and resumption times (an aspect of recovery need), based on data from an empirical study. The models can be used to help manage fatigue levels in job design.

show abstract

Novel approach to estimate endurance limits in intermittent tasks

Zhang

2021

Hum Ftrs & Erg Mfg Svc

View full text Add to dashboard Cite

Endurance limit is essential for intermittent physical operations, as physical task designs with inappropriate endurance estimation could potentially lead to work-related musculoskeletal disorders (WMSDs). Here, we propose a general approach to estimate the endurance limits of the duration and workload in intermittent operations, namely the endurance time (ET) and maximum acceptable exertion (MAE). This general endurance limit approach was developed based on physiology-based muscle fatigue and recovery models, considering task parameters and individual fatigue attributes. This approach was preliminarily validated by (1) conducting experimental studies to check the feasibility of predicting individual and group ETs in simplified isometric intermittent operations, and (2) demonstrating its utility in interpreting existing empirical MAE models and their experimental results. The findings suggest that the proposed model offers a promising approach to estimate the endurance limits in intermittent physical operations, and could help future studies aimed at modeling the relationship between endurance limits and intermittent task characteristics.

show abstract

Fatigue and recovery during and after static loading

Cited by 28 publications

References 51 publications

Disassembly task evaluation by muscle fatigue estimation in a virtual reality environment

Disassembly task evaluation by muscle fatigue estimation in a virtual reality environment

Modelling endurance and resumption times for repetitive one-hand pushing

Novel approach to estimate endurance limits in intermittent tasks

Contact Info

Product

Resources

About