Muscle Fatigue Analysis Using OpenSim

In this research, attempts are made to conduct concrete muscle fatigue analysis of arbitrary motions on OpenSim, a digital human modeling platform. A plug-in is written on the base of a muscle fatigue model, which makes it possible to calculate the decline of force-output capability of each muscle along time. The plug-in is tested on a three-dimensional, 29 degree-of-freedom human model. Motion data is obtained by motion capturing during an arbitrary running at a speed of 3.96 m/s. Ten muscles are selected for concrete analysis. As a result, the force-output capability of these muscles reduced to 60–70% after 10 min running, on a general basis. Erector spinae, which loses 39.2% of its maximal capability, is found to be more fatigue-exposed than the others. The influence of subject attributes (fatigability) is evaluated and discussed.

[1]  Don B. Chaffin,et al.  Digital Human Modeling for Workspace Design , 2008 .

[2]  Michael Damsgaard,et al.  Analysis of musculoskeletal systems in the AnyBody Modeling System , 2006, Simul. Model. Pract. Theory.

[3]  F. Zajac Muscle and tendon: properties, models, scaling, and application to biomechanics and motor control. , 1989, Critical reviews in biomedical engineering.

[4]  Fouad Bennis,et al.  Human Muscle Fatigue Model in Dynamic Motions , 2012, ARK.

[5]  Wei Zhang,et al.  Multi-objective optimisation method for posture prediction and analysis with consideration of fatigue effect and its application case , 2009, Comput. Ind. Eng..

[6]  Fouad Bennis,et al.  Predictive model of the human muscle fatigue: application to repetitive push-pull tasks with light external load , 2015, ArXiv.

[7]  Theodore F. Towse,et al.  Human skeletal muscle responses vary with age and gender during fatigue due to incremental isometric exercise. , 2002, Journal of applied physiology.

[8]  Jack M. Winters,et al.  An improved muscle-reflex actuator for use in large-scale neuromusculoskeletal models , 1995, Annals of Biomedical Engineering.

[9]  T. Armstrong,et al.  A conceptual model for work-related neck and upper-limb musculoskeletal disorders. , 1993, Scandinavian journal of work, environment & health.

[10]  Tejin Yoon,et al.  Sex differences with aging in the fatigability of dynamic contractions , 2015, Experimental Gerontology.

[11]  Don B. Chaffin,et al.  New Software Tools Improve Workplace Design , 1999 .

[12]  Karen V. Lomond,et al.  Posture-movement changes following repetitive motion-induced shoulder muscle fatigue. , 2009, Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology.

[13]  D. Anton Occupational biomechanics , 1986 .

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

[15]  Ajay Seth,et al.  Muscle contributions to propulsion and support during running. , 2010, Journal of biomechanics.

[16]  B Bigland-Ritchie,et al.  Task-dependent factors in fatigue of human voluntary contractions. , 1995, Advances in experimental medicine and biology.

[17]  D. Thelen Adjustment of muscle mechanics model parameters to simulate dynamic contractions in older adults. , 2003, Journal of biomechanical engineering.

[18]  Fouad Bennis,et al.  A new simple dynamic muscle fatigue model and its validation , 2022, ArXiv.

[19]  Bo Hu,et al.  Determination of subject-specific muscle fatigue rates under static fatiguing operations , 2013, Ergonomics.

[20]  Ayman Habib,et al.  OpenSim: Open-Source Software to Create and Analyze Dynamic Simulations of Movement , 2007, IEEE Transactions on Biomedical Engineering.