Using computed muscle control to generate forward dynamic simulations of human walking from experimental data

Thelen, Darryl G.; Anderson, Frank C.

doi:10.1016/j.jbiomech.2005.02.010

Cited by 536 publications

(414 citation statements)

References 24 publications

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“…The generated kinematics were then used to obtain dynamically consistent joint moments via residual reduction analysis, i.e. joint moments reconstructing experimental joint angles when driving forward dynamics arm simulations 47 . We refer to these as "experimental joint moments".…”

Section: Model-based Estimationmentioning

confidence: 99%

Man/machine interface based on the discharge timings of spinal motor neurons after targeted muscle reinnervation

et al. 2017

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The intuitive control of upper - limb prostheses requires a man/machine interface that directly exploits biological signals. Here, we define and experimentally test an offline man/machine interface that takes advantage of the discharge timings of spinal moto r neurons. The motor - neuron behaviour is identified by deconvolution of the electrical activity of muscles reinnervated by nerves of a missing limb in patients with amputation at the shoulder or humeral level. We mapped the series of motor - neuron discharge s into control commands across multiple degrees of freedom via the offline application of direct proportional control, pattern recognition and musculoskeletal modelling. A series of experiments performed on six patients reveal that the man/machine interfac e has superior offline performance than conventional direct electromyographic control applied after targeted muscle innervation. The combination of surgical procedures, decoding and mapping into effective commands constitutes an interface with the output l ayers of the spinal cord circuitry that allows for the intuitive control of multiple degrees of freedom

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Section: Model-based Estimationmentioning

confidence: 99%

Man/machine interface based on the discharge timings of spinal motor neurons after targeted muscle reinnervation

et al. 2017

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“…A promising approach lies in collocation methods (Kaplan and Heegaard, 2001), which may solve the move ment prediction problem on standard desktop hardware. Computationally effective tools are also evolving for data tracking which combines static optimization with a single forward dynamic simulation (Yamaguchi et al, 1995;The len et al, 2003;Thelen and Anderson, 2006). In a mature state, these tools should allow for integration of kinemat ics, external forces, and EMG to improve the reliability of muscle force estimations.…”

Section: Recommendations For Researchmentioning

confidence: 99%

Model-based estimation of muscle forces exerted during movements

Erdemir

McLean

Herzog

et al. 2007

Clinical Biomechanics

732

543

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“…A residual reduction algorithm (RRA) adjusted model kinematics to resolve dynamic inconsistency between the model kinematics and the ground reaction forces (Delp et al, 2007). Computed muscle control (CMC) (Thelen and Anderson, 2006) was used to calculate the muscle excitations and forces in all lower extremity muscles that produced a coordinated muscle-driven simulation of the subject's gait. The results of RRA and CMC were considered acceptable if the model kinematics differed from experimentally measured kinematics by less than 2° (or 2 cm for translations) and if the peak residual forces and moments at the pelvis were less than 20 N and 50 Nm, respectively.…”

Section: Modeling and Simulationsmentioning

confidence: 99%

Gluteus maximus and soleus compensate for simulated quadriceps atrophy and activation failure during walking

Thompson

Chaudhari

Schmitt

et al. 2013

Journal of Biomechanics

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Important activities of daily living, like walking and stair climbing, may be impaired by muscle weakness. In particular, quadriceps weakness is common in populations such as those with knee osteoarthritis (OA) and following ACL injury and may be a result of muscle atrophy or reduced voluntary muscle activation. While weak quadriceps has been strongly correlated with functional limitations in these populations, the important cause-effect relationships between abnormal lower extremity muscle function and patient function remain unknown. The purpose of this study was to explore possible muscle compensation strategies and changes in contribution to support and progression to maintain gait kinematics in response to two sources of quadriceps weakness: atrophy and activation failure. We used muscle-driven simulations to track normal gait kinematics in healthy subjects and applied simulated quadriceps weakness as atrophy and activation failure to evaluate compensation patterns associated with the individual sources of weakness. We found that the gluteus maximus and soleus muscles display the greatest ability to compensate for simulated quadriceps weakness. Relative to the baseline behavior of the muscles, the soleus compensates more to counteract activation deficits in the quadriceps and the gluteus maximus compensates more to counteract atrophy in the quadriceps. The development of this method for estimating the compensation strategies that are necessary to maintain normal gait will enable investigations of the role of muscle weakness in abnormal gait and inform potential rehabilitation strategies to improve such conditions.

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Using computed muscle control to generate forward dynamic simulations of human walking from experimental data

Cited by 536 publications

References 24 publications

Man/machine interface based on the discharge timings of spinal motor neurons after targeted muscle reinnervation

Man/machine interface based on the discharge timings of spinal motor neurons after targeted muscle reinnervation

Model-based estimation of muscle forces exerted during movements

Gluteus maximus and soleus compensate for simulated quadriceps atrophy and activation failure during walking

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