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Prediction of crank torque and pedal angle profiles during pedaling movements by biomechanical optimization

  • MEDICAL AND BIO-ENGINEERING APPLICATIONS
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Abstract

This paper introduces the inverse-inverse dynamics method for prediction of human movement and applies it to prediction of cycling motions. Inverse-inverse dynamics optimizes a performance criterion by variation of a parameterized movement. First, a musculoskeletal model of cycling is built in the AnyBody Modeling System (AMS). The movement is then parameterized by means of time functions controlling selected degrees-of-freedom (DOF) of the model. Subsequently, the parameters of these functions are optimized to produce an optimum posture or movement according to a user-defined cost function and constraints. The cost function and the constraints typically express performance, comfort, injury risk, fatigue, muscle load, joint forces and other physiological properties derived from the detailed musculoskeletal analysis. A physiology-based cost function that expresses the integral effort over a cycle to predict the motion pattern and crank torque was used. An experiment was conducted on a group of eight highly trained male cyclists to compare experimental observations to the simulation results. The proposed performance criterion predicts realistic crank torque profiles and ankle movement patterns.

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Acknowledgments

This work was supported by the Danish Advanced Technology Foundation.

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Authors and Affiliations

  1. Department of Mechanical and Manufacturing Engineering, Aalborg University, 9220, Aalborg East, Denmark

    Saeed Davoudabadi Farahani, Michael Skipper Andersen & John Rasmussen

  2. Department of Health Science and Technology, Aalborg University, 9220, Aalborg East, Denmark

    Mark de Zee

  3. Groupe de Recherche En Sciences Pour l’Ingénieur (EA 4694), Université de Reims Champagne Ardenne, Campus Moulin de la Housse, Bat 25, UFR STAPS, BP 1039, 51687, Reims Cedex 2, France

    William Bertucci

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  1. Saeed Davoudabadi Farahani
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  3. Michael Skipper Andersen
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  4. Mark de Zee
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  5. John Rasmussen
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Correspondence to Saeed Davoudabadi Farahani.

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Farahani, S.D., Bertucci, W., Andersen, M.S. et al. Prediction of crank torque and pedal angle profiles during pedaling movements by biomechanical optimization. Struct Multidisc Optim 51, 251–266 (2015). https://doi.org/10.1007/s00158-014-1135-6

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  • DOI: https://doi.org/10.1007/s00158-014-1135-6

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