Date of download: 10/29/2017 Copyright © ASME. All rights reserved.

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Date of download: 10/29/2017 Copyright © ASME. All rights reserved. From: Co-Simulation of Neuromuscular Dynamics and Knee Mechanics During Human Walking J Biomech Eng. 2014;136(2):021033-021033-8. doi:10.1115/1.4026358 Figure Legend: The three body knee mechanics model included 17 ligament bundles acting about the tibiofemoral and patellofemoral joints. Contact pressure between the femoral component and tibial insert was computed via an elastic foundation model. Ligament abbreviations are given in Table 1.

Date of download: 10/29/2017 Copyright © ASME. All rights reserved. From: Co-Simulation of Neuromuscular Dynamics and Knee Mechanics During Human Walking J Biomech Eng. 2014;136(2):021033-021033-8. doi:10.1115/1.4026358 Figure Legend: A computed muscle control (CMC) algorithm was used to modulate the lower limb muscle excitations such that the simulation closely tracked the measured hip, knee, and ankle angles. At every time step, the tibia, patella, and femur positions were used to ascertain the tibiofemoral contact and ligament forces. These forces were then applied within the forward dynamic simulation of the neuromusculoskeletal model.

Date of download: 10/29/2017 Copyright © ASME. All rights reserved. From: Co-Simulation of Neuromuscular Dynamics and Knee Mechanics During Human Walking J Biomech Eng. 2014;136(2):021033-021033-8. doi:10.1115/1.4026358 Figure Legend: Comparison of average electromyographic (EMG) data with simulated muscle excitations, activations, and forces over a gait cycle. Reasonably good temporal agreement is seen for the vastus lateralis, medial gastrocnemius, soleus, and tibialis anterior. Normal bursts of hamstring activity (semitendinosus, biceps femoris long) in late swing and early stance are also predicted, though the subject exhibited greater medial hamstring EMG activity throughout the gait cycle. Rectus femoris EMG activity near toe-off is slightly lower than that used in the model to initiate swing limb motion between 50% and 60% of the gait cycle. Simulated posterior cruciate and collateral ligament forces were greatest in mid-swing.

Date of download: 10/29/2017 Copyright © ASME. All rights reserved. From: Co-Simulation of Neuromuscular Dynamics and Knee Mechanics During Human Walking J Biomech Eng. 2014;136(2):021033-021033-8. doi:10.1115/1.4026358 Figure Legend: Model-predicted medial, lateral, and total tibofemoral contact forces (expressed in units of body weight (BW)) over five experimental walking cycles. Experimentally measured contact forces represent the mean (+/-1 s.d.) over the same five repeat walking cycles. Peak lateral contact forces are of comparable magnitude to experimental forces in late stance, but the model predicts greater lateral contact forces in early stance (0–10%) and the first half of swing (60–80%) than was measured.

Date of download: 10/29/2017 Copyright © ASME. All rights reserved. From: Co-Simulation of Neuromuscular Dynamics and Knee Mechanics During Human Walking J Biomech Eng. 2014;136(2):021033-021033-8. doi:10.1115/1.4026358 Figure Legend: Frontal plane alignment of the joint replacement substantially altered tibia rotation in swing and early stance, but had little effect on rotation when the limb was loaded in mid- and terminal stance. A more valgus joint replacement alignment induced greater knee abduction, lower medial contact forces, and higher lateral contact forces throughout stance.

Date of download: 10/29/2017 Copyright © ASME. All rights reserved. From: Co-Simulation of Neuromuscular Dynamics and Knee Mechanics During Human Walking J Biomech Eng. 2014;136(2):021033-021033-8. doi:10.1115/1.4026358 Figure Legend: Predicted contact pressures on the tibial insert at the time of heel strike and the first and second peaks of the tibiofemoral contact loading. Greater valgus alignment of the joint replacement resulted in a more posteriorly loaded lateral compartment at heel strike. During stance, the location of the peak pressures did not vary with alignment, but more even pressure distribution across the medial and lateral compartments is predicted in the valgus alignment.