Modelling endurance and resumption times for repetitive one-hand pushing

Abstract 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.

[1]  Ehsan Rashedi,et al.  Quantifying the history dependency of muscle recovery from a fatiguing intermittent task. , 2017, Journal of biomechanics.

[2]  M. Nussbaum,et al.  Mathematical Models of Localized Muscle Fatigue: Sensitivity Analysis and Assessment of Two Occupationally-Relevant Models , 2015, PloS one.

[3]  Maury A. Nussbaum,et al.  A review of occupationally–relevant models of localised muscle fatigue , 2015 .

[4]  Michael W Sonne,et al.  A psychophysical study to determine maximum acceptable efforts for a thumb abduction task with high duty cycles , 2015, Ergonomics.

[5]  Wei Zhang,et al.  A new simple local muscle recovery model and its theoretical and experimental validation , 2015, International journal of occupational safety and ergonomics : JOSE.

[6]  Göran M Hägg,et al.  Fatigue and recovery during and after static loading , 2014, Ergonomics.

[7]  Tim Bosch,et al.  Discrete event simulation as an ergonomic tool to predict workload exposures during systems design , 2014 .

[8]  L. Frey-Law,et al.  A three-compartment muscle fatigue model accurately predicts joint-specific maximum endurance times for sustained isometric tasks. , 2012, Journal of biomechanics.

[9]  Bo Hu,et al.  A novel approach for determining fatigue resistances of different muscle groups in static cases , 2011, ArXiv.

[10]  S Boyas,et al.  Neuromuscular fatigue in healthy muscle: underlying factors and adaptation mechanisms. , 2011, Annals of physical and rehabilitation medicine.

[11]  Ting Xia,et al.  Relationships between maximum holding time and ratings of pain and exertion differ for static and dynamic tasks. , 2010, Applied ergonomics.

[12]  K. Avin,et al.  Endurance time is joint-specific: A modelling and meta-analysis investigation , 2010, Ergonomics.

[13]  Fouad Bennis,et al.  A new muscle fatigue and recovery model and its ergonomics application in human simulation , 2008, ArXiv.

[14]  Svend Erik Mathiassen,et al.  Time--a key issue for musculoskeletal health and manufacturing. , 2007, Applied ergonomics.

[15]  Daniel Imbeau,et al.  Percentile values for determining maximum endurance times for static muscular work , 2006 .

[16]  David R. Anderson,et al.  Model selection and multimodel inference : a practical information-theoretic approach , 2003 .

[17]  R Ortengren,et al.  Endurance, pain and resumption in fully flexed postures. , 2001, Applied ergonomics.

[18]  Jing Z. Liu,et al.  A dynamical model of muscle activation, fatigue, and recovery. , 2001, Biophysical journal.

[19]  R Ortengren,et al.  Endurance time, pain and resumption in passive loading of the elbow joint , 2000, Ergonomics.

[20]  Svend Erik Mathiassen,et al.  Prediction of shoulder flexion endurance from personal factors , 1999 .

[21]  M Bakke,et al.  Ultrasonographic assessment of the swelling of the human masseter muscle after static and dynamic activity. , 1996, Archives of oral biology.

[22]  P. J. Green,et al.  Density Estimation for Statistics and Data Analysis , 1987 .

[23]  K Iwanaga,et al.  Endurance time and fatigue in static contractions. , 1984, Journal of human ergology.

[24]  B Bigland-Ritchie,et al.  EMG/FORCE RELATIONS AND FATIGUE OF HUMAN VOLUNTARY CONTRACTIONS , 1981, Exercise and sport sciences reviews.

[25]  W. Rohmert.  Ermittlung von Erholungspausen für statische Arbeit des Menschen , 1960, Internationale Zeitschrift für angewandte Physiologie einschließlich Arbeitsphysiologie.

[26]  Daniel Imbeau,et al.  Comparison of rest allowance models for static muscular work , 2009 .

[27]  Vern Putz-Anderson,et al.  Cumulative trauma disorders : a manual for musculoskeletal diseases of the upper limbs , 1988 .