Simultaneous prediction of muscle and contact forces in the knee during gait

Lin, Yi-Chung; Walter, Jonathan P.; Banks, Scott A.; Pandy, Marcus G.; Fregly, Benjamin J.

doi:10.1016/j.jbiomech.2009.10.048

Cited by 140 publications

(136 citation statements)

References 39 publications

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“…To address the muscle redundancy problem, numerous studies have used optimization methods to estimate a unique set of muscle (and sometimes joint contact) forces during walking [3][4][5][6][7][8][9][10][11]. The challenge for optimization methods is that the cost function being minimized by the human body (if it exists) remains unknown.…”

Section: Introductionmentioning

confidence: 99%

Muscle Synergies May Improve Optimization Prediction of Knee Contact Forces During Walking

Walter

Kinney

Banks

et al. 2014

Journal of Biomechanical Engineering

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The ability to predict patient-specific joint contact and muscle forces accurately could improve the treatment of walking-related disorders. Muscle synergy analysis, which decomposes a large number of muscle electromyographic (EMG) signals into a small number of synergy control signals, could reduce the dimensionality and thus redundancy of the muscle and contact force prediction process. This study investigated whether use of subject-specific synergy controls can improve optimization prediction of knee contact forces during walking. To generate the predictions, we performed mixed dynamic muscle force optimizations (i.e., inverse skeletal dynamics with forward muscle activation and contraction dynamics) using data collected from a subject implanted with a forcemeasuring knee replacement. Twelve optimization problems (three cases with four subcases each) that minimized the sum of squares of muscle excitations were formulated to investigate how synergy controls affect knee contact force predictions. The three cases were: (1) CalibrateþMatch where muscle model parameter values were calibrated and experimental knee contact forces were simultaneously matched, (2) Precalibrateþ Predict where experimental knee contact forces were predicted using precalibrated muscle model parameters values from the first case, and (3) Calibrateþ Predict where muscle model parameter values were calibrated and experimental knee contact forces were simultaneously predicted, all while matching inverse dynamic loads at the hip, knee, and ankle. The four subcases used either 44 independent controls or five synergy controls with and without EMG shape tracking. For the CalibrateþMatch case, all four subcases closely reproduced the measured medial and lateral knee contact forces (R 2 ! 0.94, root-mean-square (RMS) error < 66 N), indicating sufficient model fidelity for contact force prediction. For the PrecalibrateþPredict and CalibrateþPredict cases, synergy controls yielded better contact force predictions (0.61 < R 2 < 0.90, 83 N < RMS error < 161 N) than did independent controls (-0.15 < R 2 < 0.79, 124 N < RMS error < 343 N) for corresponding subcases. For independent controls, contact force predictions improved when precalibrated model parameter values or EMG shape tracking was used. For synergy controls, contact force predictions were relatively insensitive to how model parameter values were calibrated, while EMG shape tracking made lateral (but not medial) contact force predictions worse. For the subject and optimization cost function analyzed in this study, use of subject-specific synergy controls improved the accuracy of knee contact force predictions, especially for lateral contact force when EMG shape tracking was omitted, and reduced prediction sensitivity to uncertainties in muscle model parameter values.

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Section: Introductionmentioning

confidence: 99%

Muscle Synergies May Improve Optimization Prediction of Knee Contact Forces During Walking

Walter

Kinney

Banks

et al. 2014

Journal of Biomechanical Engineering

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“…The general motivation for this work comes from current interest in developing mathematical models for the dynamics of constrained multibody systems involving contact events between soft materials, such as in the case of biomechanical systems and bushing elements made with polymer materials [35][36][37][38][39][40][41]. In fact, modeling contacts with a high degree of energy dissipation plays a crucial role in the analysis, design and control of many mechanical systems in the measure that soft materials are characterized by low or medium values of the coefficient of restitution.…”

Section: Introductionmentioning

confidence: 99%

On the continuous contact force models for soft materials in multibody dynamics

et al. 2010

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“…Recently, PF forces during walking were calculated based upon the measured in vivo TF forces. 27 While reference to the in vivo TF forces lends credibility to the predictions, these analyses used only a single trial of walking in a single elderly patient (80 years old). To understand the etiology of the large variation of PF forces, however, multiple repetitions of an activity, different patient characteristics and, most importantly, a range of different activities are required.…”

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Patellofemoral joint contact forces during activities with high knee flexion

Trepczynski

Kutzner

Kornaropoulos

et al. 2011

Journal Orthopaedic Research

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The patellofemoral (PF) joint plays an essential role in knee function, but little is known about the in vivo loading conditions at the joint. We hypothesized that the forces at the PF joint exceed the tibiofemoral (TF) forces during activities with high knee flexion. Motion analysis was performed in two patients with telemetric knee implants during walking, stair climbing, sit-to-stand, and squat. TF and PF forces were calculated using a musculoskeletal model, which was validated against the simultaneously measured in vivo TF forces, with mean errors of 10% and 21% for the two subjects. The in vivo peak TF forces of 2.9-3.4 bodyweight (BW) varied little across activities, while the peak PF forces showed significant variability, ranging from less than 1 BW during walking to more than 3 BW during high flexion activities, exceeding the TF forces. Together with previous in vivo measurements at the hip and knee, the PF forces determined here provide evidence that peak forces across these joints reach values of around 3 BW during high flexion activities, also suggesting that the in vivo loading conditions at the knee can only be fully understood if the forces at the TF and the PF joints are considered together. ß

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Simultaneous prediction of muscle and contact forces in the knee during gait

Cited by 140 publications

References 39 publications

Muscle Synergies May Improve Optimization Prediction of Knee Contact Forces During Walking

Muscle Synergies May Improve Optimization Prediction of Knee Contact Forces During Walking

On the continuous contact force models for soft materials in multibody dynamics

Patellofemoral joint contact forces during activities with high knee flexion

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