Soft tissue artifact causes underestimation of hip joint kinematics and kinetics in a rigid-body musculoskeletal model

Fiorentino, Niccolo M.; Atkins, Penny R.; Kutschke, Michael; Foreman, K. Bo; Anderson, Andrew E.

doi:10.1016/j.jbiomech.2020.109890

Cited by 26 publications

(13 citation statements)

References 43 publications

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“…SM-based kinematics were comparable to the literature (D'Isidoro et al, 2020;Fiorentino et al, 2017). Results obtained showed that overall rotational ROM was underestimated by SM-based results up to 2.2°for the hip joint, thus confirming similar observations reported in studies that compared SM-based ROM to dual fluoroscopic measurements (Fiorentino et al, 2020). For the knee joint, SM-based ROM was smaller by 6.3°for the Flex/Ext, whereas other DoFs revealed up to 12°higher as compared to STAC kinematics.…”

Section: Discussionsupporting

confidence: 88%

Development and evaluation of a new methodology for Soft Tissue Artifact compensation in the lower limb

Lahkar

Rohan

Assi

et al. 2021

Journal of Biomechanics

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Skin Marker (SM) based motion capture is the most widespread technique used for motion analysis. Yet, the accuracy is often hindered by Soft Tissue Artifact (STA). This is a major issue in clinical gait analysis where kinematic results are used for decision-making. It also has a considerable influence on the results of rigid body and Finite Element (FE) musculoskeletal models that rely on SM-based kinematics to esti-mate muscle, contact and ligament forces. Current techniques devised to compensate for STA, in partic-ular multi-body optimization methods, often consider simplified joint models. Although joint personalization with anatomical constraints has improved kinematic estimation, these models yet don't represent a fully reliable solution to the STA problem, thus allowing us to envisage an alternative approach. In this perspective, we propose to develop a conceptual FE-based model of the lower limb for STA compensation and evaluate it for 66 healthy subjects under level walking motor task.Both hip and knee joint kinematics were analyzed, considering both rotational and translational joint motion. Results showed that STA caused underestimation of the hip joint kinematics (up to 2.2°) for all rotational DoF, and overestimation of knee joint kinematics (up to 12°) except in flexion/ extension. Joint kinematics, in particular the knee joint, appeared to be sensitive to soft tissue stiffness parameters (rota-tional and translational mean difference up to 1.5° and 3.4 mm). Analysis of the results using alternative joint representations highlighted the versatility of the proposed modeling approach. This work paves the way for using personalized models to compensate for STA in healthy subjects and different activities.

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Section: Discussionsupporting

confidence: 88%

Development and evaluation of a new methodology for Soft Tissue Artifact compensation in the lower limb

Lahkar

Rohan

Assi

et al. 2021

Journal of Biomechanics

View full text Add to dashboard Cite

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“…S1 " type="url"/> for accelerations that demonstrate this phenomenon more apparently). This variability may be the product of limitations in marker based kinematic data collection ( Cereatti et al, 2017 ; Fiorentino et al, 2020 ; Leardini et al, 2005 ), and thus the variable muscle activity could reflect noise inherent to the data collection and modelling processes and not a natural phenomenon of human walking. Alternatively, the variation in pelvic tilt among steps or people may be a normal aspect of walking as the body adjusts to accommodate variation in the location of the center of pressure of the ground reaction force ( Lugade and Kaufman, 2014 ), or controlling trunk motion ( Schumacher et al, 2019 ).…”

Section: Discussionmentioning

confidence: 99%

Muscle forces and the demands of human walking

2021

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Reconstructing the locomotor behavior of extinct animals depends on elucidating the principles that link behavior, function, and morphology, which can only be done using extant animals. Within the human lineage, the evolution of bipedalism represents a critical transition, and evaluating fossil hominins depends on understanding the relationship between lower limb forces and skeletal morphology in living humans. As a step toward that goal, here we use a musculoskeletal model to estimate forces in the lower limb muscles of ten individuals during walking. The purpose is to quantify the consistency, timing, and magnitude of these muscle forces during the stance phase of walking. We find that muscles which act to support or propel the body during walking demonstrate the greatest force magnitudes as well as the highest consistency in the shape of force curves among individuals. Muscles that generate moments in the same direction as, or orthogonal to, the ground reaction force show lower forces of greater variability. These data can be used to define the envelope of load cases that need to be examined in order to understand human lower limb skeletal load bearing.

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“…System error is reduced through calibration; for our system, it is less than 1 mm for any marker. Movement between the external (skin) surface and the bone is more complicated to reduce, but may not be clinically relevant [110].…”

Section: Discussionmentioning

confidence: 99%

“…Positional noise arises from the inherent error of measurement of the marker's position in space (system error) and from movement of the surface (skin or clothing), where the markers are placed relative to the underlying rigid segment (e.g. [108][109][110]). System error is reduced through calibration; for our system, it is less than 1 mm for any marker.…”

Section: Input Data Choicesmentioning

confidence: 99%

A review of musculoskeletal modelling of human locomotion

2021

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Locomotion through the environment is important because movement provides access to key resources, including food, shelter and mates. Central to many locomotion-focused questions is the need to understand internal forces, particularly muscle forces and joint reactions. Musculoskeletal modelling, which typically harnesses the power of inverse dynamics, unites experimental data that are collected on living subjects with virtual models of their morphology. The inputs required for producing good musculoskeletal models include body geometry, muscle parameters, motion variables and ground reaction forces. This methodological approach is critically informed by both biological anthropology, with its focus on variation in human form and function, and mechanical engineering, with a focus on the application of Newtonian mechanics to current problems. Here, we demonstrate the application of a musculoskeletal modelling approach to human walking using the data of a single male subject. Furthermore, we discuss the decisions required to build the model, including how to customize the musculoskeletal model, and suggest cautions that both biological anthropologists and engineers who are interested in this topic should consider.

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Soft tissue artifact causes underestimation of hip joint kinematics and kinetics in a rigid-body musculoskeletal model

Cited by 26 publications

References 43 publications

Development and evaluation of a new methodology for Soft Tissue Artifact compensation in the lower limb

Development and evaluation of a new methodology for Soft Tissue Artifact compensation in the lower limb

Muscle forces and the demands of human walking

A review of musculoskeletal modelling of human locomotion

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