Body of evidence supporting the clinical use of 3D multisegment foot models: A systematic review

Deschamps, Kevin; Staes, Filip; Roosen, Philip; Nobels, Frank; Desloovere, Kaat; Bruyninckx, Herman; Matricali, Giovanni

doi:10.1016/j.gaitpost.2010.12.018

Cited by 135 publications

(95 citation statements)

References 72 publications

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“…Several foot models, with a variable number of rigid bodies and degrees of freedom (DOF), have been proposed whose topological complexity varies essentially with the goal of the study [7]. Mono and two-segmental foot models are recurrent in literature [1][2][3], presenting high computational efficiency, however they are inefficient to analyze all the singularities that occur at ankle-foot and tarsus level.…”

Section: Introductionmentioning

confidence: 99%

A Three-Dimensional Multibody Model of the Human Ankle-Foot Complex

Malaquias

Gonçalves

Silva

2014

Mechanisms and Machine Science

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In this work, a three-dimensional foot and leg model is proposed, which combines six rigid bodies and five kinematic pairs to produce an articulated system of four segments (toes, mid-forefoot, rearfoot and leg) with thirteen independent degrees-of-freedom. The model is described using a multibody dynamics formulation with natural coordinates and estimated anthropometric parameters. A massless link is used to model the anatomical offset between the talocrural and talocalcaneal joints, avoiding the inclusion of a specific rigid body to model the talus bone. The reliability of the model was tested through its application to the study of the kinematic and dynamic patterns of the human gait. A male subject was analyzed and his data compared with literature, enabling to attest the consistency and realism of the proposed model.

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Section: Introductionmentioning

confidence: 99%

A Three-Dimensional Multibody Model of the Human Ankle-Foot Complex

Malaquias

Gonçalves

Silva

2014

Mechanisms and Machine Science

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“…More recently, 3D multisegment foot models (3DMFMs) emerged allowing the quantification of the mobility of different foot segments during clinical gait analysis (Baker and Robb, 2006;Deschamps et al, 2011). The clinical usefulness of this method with respect to pathomechanical modelling has been underpinned with methodological as well as clinical studies in different patient populations (Deschamps et al, 2012a(Deschamps et al, , 2012bNess et al, 2008).…”

Section: Introductionmentioning

confidence: 99%

Comparison of foot segmental mobility and coupling during gait between patients with diabetes mellitus with and without neuropathy and adults without diabetes

Deschamps

Matricali

Roosen

et al. 2013

Clinical Biomechanics

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Background: Reduction in foot mobility has been identified as a key factor of altered foot biomechanics in individuals with diabetes mellitus. This study aimed at comparing in vivo segmental foot kinematics and coupling in patients with diabetes with and without neuropathy to control adults. Methods: Foot mobility of 13 diabetic patients with neuropathy, 13 diabetic patients without neuropathy and 13 non-diabetic persons was measured using an integrated measurement set-up including a plantar pressure platform and 3D motion analysis system. In this age-, sex-and walking speed matched comparative study; differences in range of motion quantified with the Rizzoli multisegment foot model throughout different phases of the gait cycle were analysed using one-way repeated measures analysis of variance (ANOVA). Coupling was assessed with cross-correlation techniques. Findings: Both cohorts with diabetes showed significantly lower motion values as compared to the control group. Transverse and sagittal plane motion was predominantly affected with often lower range of motion values found in the group with neuropathy compared to the diabetes group without neuropathy. Most significant changes were observed during propulsion (both diabetic groups) and swing phase (predominantly diabetic neuropathic group). A trend of lower cross-correlations between segments was observed in the cohorts with diabetes. Interpretation: Our findings suggest an alteration in segmental kinematics and coupling during walking in diabetic patients with and without neuropathy. Future studies should integrate other biomechanical measurements as it is believed to provide additional insight into neural and mechanical deficits associated to the foot in diabetes.

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“…Additionally, foot morphological classifications were relatively broad and, whilst the potential for confounding variables is considered limited, no efforts to control for their occurrence were made. A likely explanation for the low correlation found between intersegmental JAs and sub-segmental vertical loading is that robust studies evaluating the repeatability of 3-D multi-segment kinematic foot models are yet to be reported (Deschamps et al 2011;Di Marco et al Forthcoming). This would suggest that any correlations that do exist between intersegmental kinematics and sub-segment loading would be obscured by the errors inherent in the measurement method.…”

Section: Resultsmentioning

confidence: 99%

“…These include studies of healthy adolescent gait (MacWilliams et al 2003), juvenile subjects with and without cerebral palsy (Stebbins et al 2005) and diabetic subjects (Hastings et al 2010;Deschamps et al 2011;Sawacha et al 2012). The most comprehensive investigation of the correlates between sub-area foot loading and joint kinematics was performed by Giacomozzi et al (2014), who found sagittal plane kinematics and baropodometric parameters to be well correlated in the temporal domain but reported only weak-to-moderate correlations between sub-segment pressures and intersegmental range of motion.…”

Section: Experimental Set-upmentioning

confidence: 99%

Relationship between sagittal plane kinematics, foot morphology and vertical forces applied to three regions of the foot

Hannah

Sawacha

Guiotto

et al. 2016

International Biomechanics

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Kinetic analysis of human motion with a multi-segment musculoskeletal foot model requires the distribution of loading applied to the modeled foot segments to be determined. This work thus examines the existence of any correlation between intersegmental foot kinematics, foot morphology, and the distribution of vertical loading in a multi-segment foot model. Gait analysis trials were performed by 20 healthy subjects at a self-selected speed with intersegmental foot joint angles and the distribution of vertical loading measured for a multi-segment foot model. A statistical relationship between the sagittal plane foot kinematics and loads applied to each foot sub-area was sought using multiple regression analyses. The sub-segmental loading of the normal and abnormal morphological groups was also compared. No meaningful relationships between sagittal plane foot kinematics and sub-segment foot loading were found (max. R 2 = 0.36). Statistically significant relationships between foot morphology classification and sub-area foot loading were however identified, particularly for feet exhibiting hallux valgus. Significant variation in intersubject foot sub-segmental loading indicates that an appropriate technique for determining this load distribution must be determined before effective kinetic analyses are performed with multisegment musculoskeletal foot models. The results of this study suggest that foot morphology is a better indicator of sub-area loading than sagittal plane kinematics and warrants further investigation.

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Body of evidence supporting the clinical use of 3D multisegment foot models: A systematic review

Cited by 135 publications

References 72 publications

A Three-Dimensional Multibody Model of the Human Ankle-Foot Complex

A Three-Dimensional Multibody Model of the Human Ankle-Foot Complex

Comparison of foot segmental mobility and coupling during gait between patients with diabetes mellitus with and without neuropathy and adults without diabetes

Relationship between sagittal plane kinematics, foot morphology and vertical forces applied to three regions of the foot

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