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. Author manuscript; available in PMC: 2006 Jan 31.
Published in final edited form as: J Appl Biomech. 2004 Nov;20(4):367–395. doi: 10.1123/jab.20.4.367

Figure 8.

Figure 8

Flowchart of the modeling procedure. EMG is processed to obtain muscle activation while the position data is used to obtain musculoskeletal lengths, velocities, and moment arms. Together these are put into a Hill-type model to estimate musculotendon forces, and these in turn are multiplied by their moment arms and summed to obtain joint moment. This estimated moment is compared with the measured moment. In the optimization process, parameters in the model are adjusted to minimize the difference between measured and predicted joint moments. Once the parameters are tuned, the optimization part of the model is removed and it can now be used to predict joint moments for novel tasks.