Muscle optimization techniques impact the magnitude of calculated hip joint contact forces

Wesseling, Mariska; Derikx, L.C.; Groote, Friedl De; Bartels, Ward; Meyer, Christophe; Verdonschot, Nico; Jonkers, Ilse

doi:10.1002/jor.22769

Cited by 55 publications

(49 citation statements)

References 28 publications

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“…Predictions of hip joint contact forces are affected by the optimization approach used to solve the neuromuscular redundancy problem (Modenese et al, 2011; Wesseling et al, 2015). Wesseling et al found that static optimization was the most favorable approach for obtaining accurate predictions, and Bosmans et al used this approach while predicting hip joint contact forces in children with cerebral palsy (Bosmans et al, 2014).…”

Section: Methodsmentioning

confidence: 99%

Compressive and shear hip joint contact forces are affected by pediatric obesity during walking

Lerner

Browning

2016

Journal of Biomechanics

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Obese children exhibit altered gait mechanics compared to healthy-weight children and have an increased prevalence of hip pain and pathology. This study sought to determine the relationships between body mass and compressive and shear hip joint contact forces during walking. Kinematic and kinetic data were collected during treadmill walking at 1 m•s−1 in 10 obese and 10 healthy-weight 8–12 year-olds. We estimated body composition, segment masses, lower-extremity alignment, and femoral neck angle via radiographic images, created personalized musculoskeletal models in OpenSim, and computed muscle forces and hip joint contact forces. Hip extension at mid-stance was 9° less, on average, in the obese children (p<0.001). Hip abduction, knee flexion, and body-weight normalized peak hip moments were similar between groups. Normalized to body-weight, peak contact forces were similar at the first peak and slightly lower at the second peak between the obese and healthy-weight participants. Total body mass explained a greater proportion of contact force variance compared to lean body mass in the compressive (r2=0.89) and vertical shear (perpendicular to the physis acting superior-to-inferior) (r2=0.84) directions; lean body mass explained a greater proportion in the posterior shear direction (r2=0.54). Stance-average contact forces in the compressive and vertical shear directions increased by 41 N and 48 N, respectively, for every kilogram of body mass. Age explained less than 27% of the hip loading variance. No effect of sex was found. The proportionality between hip loads and body-weight may be implicated in an obese child’s increased risk of hip pain and pathology.

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Section: Methodsmentioning

confidence: 99%

Compressive and shear hip joint contact forces are affected by pediatric obesity during walking

Lerner

Browning

2016

Journal of Biomechanics

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“…), hip (Blanco & Gambini, ; Blemker & Delp, ; Wesseling et al. ) and shoulder (Nikooyan et al. ; Seth et al.…”

Section: Introductionmentioning

confidence: 99%

“…Although sophisticated musculoskeletal models of the knee (Beidokhti et al 2016), hip (Blanco & Gambini, 2006;Blemker & Delp, 2005;Wesseling et al 2015) and shoulder (Nikooyan et al 2011;Seth et al 2016;Wu et al 2016) have been developed in the past, a complete model of the hand is still lacking. One of the main reasons for this is the high complexity of the human hand.…”

Section: Introductionmentioning

confidence: 99%

The digital human forearm and hand

2018

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How changes in anatomy affect joint biomechanics can be studied using musculoskeletal modelling, making it a valuable tool to explore joint function in healthy and pathological joints. However, gathering the anatomical, geometrical and physiological data necessary to create a model can be challenging. Very few integrated datasets exist and even less raw data is openly available to create new models. Therefore, the goal of the present study is to create an integrated digital forearm and make the raw data available via an open-access database. An un-embalmed cadaveric arm was digitized using 7T MRI and CT scans. 3D geometrical models of bones, cartilage, muscle and muscle pathways were created. After MRI and CT scanning, physiological muscle parameters (e.g. muscle volume, mass, length, pennation angle, physiological cross-sectional area, tendon length) were obtained via detailed dissection. After dissection, muscle biopsies were fixated and confocal microscopy was used to visualize and measure sarcomere lengths. This study provides an integrated anatomical dataset on which complete and accurate musculoskeletal models of the hand can be based. By creating a 3D digital human forearm, including all relevant anatomical parameters, a more realistic musculoskeletal model can be created. Furthermore, open access to the anatomical dataset makes it possible for other researchers to use these data in the development of a musculoskeletal model of the hand.

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“…Researchers have explored several computational approaches to address the muscle redundancy problem. The most common approach found in the literature is static optimization, where a cost function is minimized one time frame at a time to find muscle forces that reproduce experimental joint moments calculated via inverse dynamics [8][9][10][11]. Musculoskeletal models used in this process are typically scaled versions of generic models available in the literature [12,13].…”

Section: Introductionmentioning

confidence: 99%

Neuromusculoskeletal Model Calibration Significantly Affects Predicted Knee Contact Forces for Walking

Serrancolí

Kinney

Fregly

et al. 2016

Journal of Biomechanical Engineering

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Though walking impairments are prevalent in society, clinical treatments are often ineffective at restoring lost function. For this reason, researchers have begun to explore the use of patient-specific computational walking models to develop more effective treatments. However, the accuracy with which models can predict internal body forces in muscles and across joints depends on how well relevant model parameter values can be calibrated for the patient. This study investigated how knowledge of internal knee contact forces affects calibration of neuromusculoskeletal model parameter values and subsequent prediction of internal knee contact and leg muscle forces during walking. Model calibration was performed using a novel two-level optimization procedure applied to six normal walking trials from the Fourth Grand Challenge Competition to Predict In Vivo Knee Loads. The outer-level optimization adjusted time-invariant model parameter values to minimize passive muscle forces, reserve actuator moments, and model parameter value changes with (Approach A) and without (Approach B) tracking of experimental knee contact forces. Using the current guess for model parameter values but no knee contact force information, the inner-level optimization predicted time-varying muscle activations that were close to experimental muscle synergy patterns and consistent with the experimental inverse dynamic loads (both approaches). For all the six gait trials, Approach A predicted knee contact forces with high accuracy for both compartments (average correlation coefficient r ¼ 0.99 and root mean square error (RMSE) ¼ 52.6 N medial; average r ¼ 0.95 and RMSE ¼ 56.6 N lateral). In contrast, Approach B overpredicted contact force magnitude for both compartments (average RMSE ¼ 323 N medial and 348 N lateral) and poorly matched contact force shape for the lateral compartment (average r ¼ 0.90 medial and À0.10 lateral). Approach B had statistically higher lateral muscle forces and lateral optimal muscle fiber lengths but lower medial, central, and lateral normalized muscle fiber lengths compared to Approach A. These findings suggest that poorly calibrated model parameter values may be a major factor limiting the ability of neuromusculoskeletal models to predict knee contact and leg muscle forces accurately for walking.

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Muscle optimization techniques impact the magnitude of calculated hip joint contact forces

Cited by 55 publications

References 28 publications

Compressive and shear hip joint contact forces are affected by pediatric obesity during walking

Compressive and shear hip joint contact forces are affected by pediatric obesity during walking

The digital human forearm and hand

Neuromusculoskeletal Model Calibration Significantly Affects Predicted Knee Contact Forces for Walking

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