Abstract
Standing from a chair is a demanding daily activity that many older adults find challenging because it requires large knee extension torques. Using a musculoskeletal model we first solve for the state trajectories that track the sit-to-stand movements of an older adult. Next, we solve for the state trajectories that predict a sit-to-stand movement by minimizing the sum of squared muscle activations. We use these simulation results to examine how well the predicted movements mimic the tracking solution and examine which of the nonlinear properties of muscle most affect the sit-to-stand movement.
Financial support from Carl Zeiss-Foundation is gratefully acknowledged.
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Notes
- 1.
Approved by the IRB of the medical faculty of Heidelberg University.
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Millard, M., Mombaur, K. (2022). Sit-to-Stand Models of Older Adults Should Include Muscle Nonlinearities and Arms. In: Torricelli, D., Akay, M., Pons, J.L. (eds) Converging Clinical and Engineering Research on Neurorehabilitation IV. ICNR 2020. Biosystems & Biorobotics, vol 28. Springer, Cham. https://doi.org/10.1007/978-3-030-70316-5_53
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