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Figure 2 | Journal of NeuroEngineering and Rehabilitation

Figure 2

From: Predicting non-isometric fatigue induced by electrical stimulation pulse trains as a function of pulse duration

Figure 2

Block diagram demonstrating parameter identification (A) and prediction of fatigue (B) using the force-motion (Force) and fatigue models. During parameter identification (A) force-motion model parameters (muscle parameters) were identified by fitting the modeled forces, angles, and angular velocities to the measurements collected prior to and during the fatiguing protocol in response to the 50CFT and 12.5VFT trains. The fatigue model parameters were identified by fitting the parameters A 90 , K m , and τ 1 (3 of the 15 muscle parameters) derived from the force-motion model to the parameters A 90 , K m , and τ 1 predicted by the fatigue model. During model validation (B), the force and velocity predicted by the force-motion model enter the fatigue model at a given time step. The fatigue model predicts the parameters A 90 , K m , and τ 1 to be used by the force-motion model for the next time step. Upon completion of all time steps the predicted fatigue is compared to the measured fatigue to validate the model.

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