Static Optimization is a method for estimating muscle activations and muscle forces that satisfy the positions, velocities, accelerations, and external forces (e.g., ground reaction forces) of a motion. The technique is called "static" since calculations are performed at each time frame, without integrating the equations of motion between time steps. Because there is no integration, Static Optimization can be very fast and efficient, but it does ignore activation dynamics and tendon compliance. (See Hicks et al., (2015) for more details regarding this and similar modeling and simulation choices and their pros and cons.)
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- Describe the changes in muscle activation for the three different motion inputs.
- Why did the residual force reduce forces decrease from the Unfiltered to Filtered condition? Why did the residual force reduce forces decrease further when using the motion from RRA?
- Which kinematic input should use be used for the Static Optimization analysis? Explain your reason(s).
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