Musculoskeletal simulations to investigate influences of muscle weakness and sensory noise to postural control with high stiffness

When elderly and young people are compared, strategy shift from ankle strategy to hip strategy occurs at smaller perturbations in the elderly. Although understanding of how the changes of humans’ body accompanying with aging cause the difference is important, experiments only are insufficient to understand it. A simulation study reported that sensory noise increase could explain the difference, but a torque-driven model was used and internal forces which contribute to postural control were not considered. The purpose of this study was to elucidate what is the main cause of the difference in strategy shift between young and elderly considering internal forces. We executed musculoskeletal simulations of postural control against a perturbation changing the conditions of muscle and sensory functions. We utilized a neural controller model with feedback control based on proprioceptive information and translated the support surface backward as a perturbation. The magnitude of internal forces was fixed to focus on postural control with high stiffness. 9 conditions (33)()

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

[2]  Matthew S. DeMers,et al.  Preparatory co-activation of the ankle muscles may prevent ankle inversion injuries. , 2017, Journal of biomechanics.

[3]  F. Horak,et al.  Central programming of postural movements: adaptation to altered support-surface configurations. , 1986, Journal of neurophysiology.

[4]  Ilse Jonkers,et al.  Increased sensory noise and not muscle weakness explains changes in non-stepping postural responses following stance perturbations in healthy elderly. , 2018, Gait & posture.

[5]  S. Swinnen,et al.  The effect of aging on dynamic position sense at the ankle , 2002, Behavioural Brain Research.

[6]  Margarita Vergara,et al.  A modified elastic foundation contact model for application in 3D models of the prosthetic knee. , 2008, Medical engineering & physics.

[7]  Jun Ota,et al.  Generation of the Human Biped Stance by a Neural Controller Able to Compensate Neurological Time Delay , 2016, PloS one.

[8]  F. Horak,et al.  Postural Orientation and Equilibrium , 2011 .

[9]  M Hallett,et al.  Biomechanical assessment of quiet standing and changes associated with aging. , 1995, Archives of physical medicine and rehabilitation.

[10]  W. Marsden I and J , 2012 .

[11]  Li-Shan Chou,et al.  Ankle dorsiflexor strength relates to the ability to restore balance during a backward support surface translation. , 2013, Gait & posture.

[12]  Kevin Barraclough,et al.  I and i , 2001, BMJ : British Medical Journal.