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• W1979826626 endingPage "161" @default.
• W1979826626 startingPage "153" @default.
• W1979826626 abstract "The proposition that dynamic optimization provides better estimates of muscle forces during gait than static optimization is examined by comparing a dynamic solution with two static solutions. A 23-degree-of-freedom musculoskeletal model actuated by 54 Hill-type musculotendon units was used to simulate one cycle of normal gait. The dynamic problem was to find the muscle excitations which minimized metabolic energy per unit distance traveled, and which produced a repeatable gait cycle. In the dynamic problem, activation dynamics was described by a first-order differential equation. The joint moments predicted by the dynamic solution were used as input to the static problems. In each static problem, the problem was to find the muscle activations which minimized the sum of muscle activations squared, and which generated the joint moments input from the dynamic solution. In the first static problem, muscles were treated as ideal force generators; in the second, they were constrained by their force–length–velocity properties; and in both, activation dynamics was neglected. In terms of predicted muscle forces and joint contact forces, the dynamic and static solutions were remarkably similar. Also, activation dynamics and the force–length–velocity properties of muscle had little influence on the static solutions. Thus, for normal gait, if one can accurately solve the inverse dynamics problem and if one seeks only to estimate muscle forces, the use of dynamic optimization rather than static optimization is currently not justified. Scenarios in which the use of dynamic optimization is justified are suggested." @default.
• W1979826626 created "2016-06-24" @default.
• W1979826626 creator A5029203551 @default.
• W1979826626 creator A5075821322 @default.
• W1979826626 date "2001-02-01" @default.
• W1979826626 modified "2023-10-05" @default.
• W1979826626 title "Static and dynamic optimization solutions for gait are practically equivalent" @default.
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• W1979826626 doi "https://doi.org/10.1016/s0021-9290(00)00155-x" @default.
• W1979826626 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/11165278" @default.
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