Musculoskeletal model choice influences hip joint load estimations during gait

Weinhandl, Joshua T.; Bennett, Hunter J.

doi:10.1016/j.jbiomech.2019.05.015

Cited by 18 publications

(35 citation statements)

References 42 publications

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“…MSK modelling was used to estimate hip joint kinematics and reaction forces. Even though the obtained hip joint loads are comparable to those reported in similar studies (e.g., Lunn et al, 1 Weinhandl and Bennett, 19 De Pieri et al, 26 and Weinhandl et al 37 ), they typically overestimate those measured by instrumented prostheses and reported in public databases (e.g., Bergmann et al 8,9 ). This may be due to the several limitations affecting MSK models in addition to uncertainties due to experimental data acquisition (e.g.…”

Section: Msk Model Limitationssupporting

confidence: 73%

“…4,18 Regarding the first issue, musculoskeletal (MSK) modelling represents a valuable option to estimate joint loads starting from non-invasive motion analysis. 1,[19][20][21] This approach is adopted in the present study with the aim to define a general procedure for wear prediction of MoP HAs, which could be used in in silico pre-clinical trials, investigating the effect of several daily living activities on wear. Motion analysis data collected for a subject with a right HA during walking, fast walking, lunge, squat and stair negotiation from the dataset provided by Lunn et al 1,22 and LLJ 23 are given as input to an MSK model developed in OpenSim to estimate both joint angles and joint reaction forces.…”

Section: Introductionmentioning

confidence: 99%

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Combination of musculoskeletal and wear models to investigate the effect of daily living activities on wear of hip prostheses

Mattei

Tomasi

Artoni

et al. 2021

Proceedings of the Institution of Mechanical Engineers, Part J:

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Numerical wear predictions are gaining increasing interest in many engineering applications, as they allow to simulate complex operative conditions not easily replicable in the laboratory. As far as hip prostheses are concerned, most of the wear models in the literature are based on the simulation of gait (recommended also in experimental wear tests), since gait is considered the most frequent and important motor task to recover after arthroplasty. However, since joint prostheses have been increasingly implanted in younger people, high loads and potentially severe conditions, e.g. due to sporting activities, should also be considered for a more reliable wear assessment of these implants. In this study, we propose a profitable combination of musculoskeletal and analytical wear modelling for the prediction of wear caused by common daily activities in metal-on-plastic hip arthroplasties. Several motion analysis data available in the literature (walking, fast walking, lunge, squat, stair negotiation) were selected and the effects of such motor tasks on prosthesis wear were investigated, both separately and in combination. Additionally, for comparative purposes, wear prediction for simplified gait conditions prescribed by the ISO 14242 standard, were also considered. Results suggest that this latter case produces lower wear depth and volume with respect to a relatively demanding combination of the selected daily activities. The preliminary results of the present study represent a first step towards the auspicious goal of validating the proposed procedure for in silico trials of hip arthroplasties.

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Section: Msk Model Limitationssupporting

confidence: 73%

Section: Introductionmentioning

confidence: 99%

Combination of musculoskeletal and wear models to investigate the effect of daily living activities on wear of hip prostheses

Mattei

Tomasi

Artoni

et al. 2021

Proceedings of the Institution of Mechanical Engineers, Part J:

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“…Our hip JRF magnitudes are comparable to [5, 10] and, as in those studies, they are larger than in vivo measurements [1]. In previous literature this overestimation has been attributed to the simplified anatomical representation of the hip muscle anatomy [15]. The adopted model, however, explicitly includes a patellar tendon and patellofemoral joint, and therefore we preferred it to other models as it provides a more realistic baseline for tibiofemoral JRF estimation.…”

Section: Discussionsupporting

confidence: 69%

Dependency of Lower Limb Joint Reaction Forces on Femoral Anteversion

Modenese

Barzan

Carty

2021

Preprint

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Background: Musculoskeletal (MSK) models based on literature data are meant to represent a generic anatomy and are a popular tool employed by biomechanists to estimate the internal loads occurring in the lower limb joints, such as joint reaction forces (JRFs). However, since these models are normally just linearly scaled to an individual's anthropometry, it is unclear how their estimations would be affected by the personalization of key features of the MSK anatomy, one of which is the femoral anteversion angle. Research Question: How are the lower limb JRF magnitudes computed through a generic MSK model affected by changes in the femoral anteversion Methods: We developed a bone-deformation tool in MATLAB (shared at https://simtk.org/projects/bone_deformity) and used it to create a set of seven OpenSim models spanning from 2° femoral retroversion to 40° anteversion. We used these models to simulate the gait of an elderly individual with an instrumented prosthesis implanted at their knee joint (5th Grand Challenge dataset) and quantified both the changes in JRFs magnitude due to varying the skeletal anatomy and their accuracy against the correspondent in vivo measurements at the knee joint. Results: Hip and knee JRF magnitudes were affected by the femoral anteversion with variations from the unmodified generic model up to 11.7±5.5% at the hip and 42.6±31.0% at the knee joint. The ankle joint was unaffected by the femoral geometry. The MSK models providing the most accurate knee JRFs (root mean squared error: 0.370±0.069 body weight, coefficient of determination: 0.764±0.104, largest peak error: 0.36±0.16 body weight) were those with the femoral anteversion angle closer to that measured on the segmented bone of the individual. Significance: Femoral anteversion substantially affects hip and knee JRFs estimated with generic MSK models, suggesting that personalizing key MSK anatomical features might be necessary for accurate estimation of JRFs with these models.

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“…Along with these stand-alone validation steps, some initiatives have provided validation data sets for joint contact forces and joint kinematics derived from instrumented endoprosthesis [105][106][107][108]. Using these validation datasets, estimation of joint contact loading magnitude within 0.1-0.5 [3,109] and 0.5-1.0 [110,111] body weights for the knee and hip joints, respectively, have been reported. These studies, although showing good agreement with validation data, cannot be carried out for each subject in large cohort studies.…”

Section: Model Validitymentioning

confidence: 99%

In Silico-Enhanced Treatment and Rehabilitation Planning for Patients with Musculoskeletal Disorders: Can Musculoskeletal Modelling and Dynamic Simulations Really Impact Current Clinical Practice?

et al. 2020

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Over the past decades, the use of computational physics-based models representative of the musculoskeletal (MSK) system has become increasingly popular in many fields of clinically driven research, locomotor rehabilitation in particular. These models have been applied to various functional impairments given their ability to estimate parameters which cannot be readily measured in vivo but are of interest to clinicians. The use of MSK modelling and simulations allows analysis of relevant MSK biomarkers such as muscle and joint contact loading at a number of different stages in the clinical treatment pathway in order to benefit patient functional outcome. Applications of these methods include optimisation of rehabilitation programs, patient stratification, disease characterisation, surgical pre-planning, and assistive device and exoskeleton design and optimisation. This review provides an overview of current approaches, the components of standard MSK models, applications, limitations, and assumptions of these modelling and simulation methods, and finally proposes a future direction.

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Musculoskeletal model choice influences hip joint load estimations during gait

Cited by 18 publications

References 42 publications

Combination of musculoskeletal and wear models to investigate the effect of daily living activities on wear of hip prostheses

Combination of musculoskeletal and wear models to investigate the effect of daily living activities on wear of hip prostheses

Dependency of Lower Limb Joint Reaction Forces on Femoral Anteversion

In Silico-Enhanced Treatment and Rehabilitation Planning for Patients with Musculoskeletal Disorders: Can Musculoskeletal Modelling and Dynamic Simulations Really Impact Current Clinical Practice?

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