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Deschamps K.,Catholic University of Leuven | Deschamps K.,University Hospital Pellenberg | Deschamps K.,Leonard de Vinci College | Staes F.,Catholic University of Leuven | And 6 more authors.
Gait and Posture | Year: 2011

Background: A critical component in the characterization of foot mechanics during clinical gait analysis is the quantitative measurement of foot kinematics. Currently, the use of 3D multisegment foot models (3DMFMs) is popular in gait laboratories as it would seem to be an adequate tool for the in vivo analysis of dynamic foot kinematics. This systematic review identifies and evaluates current evidence for the use of 3DMFMs in clinical gait analysis. Methods: A targeted search strategy traced full papers that fulfilled the inclusion and exclusion criteria. The papers were classified and evaluated for quality using a custom made quality appraisal form. Findings: Forty-one manuscripts were included yielding a total number of fifteen 3DMFMs. Generally, study procedures and sample selection were adequately described; however, the methodological quality varied widely. Evidence regarding the repeatability of the identified models also varied widely. Models facing the highest level of scientific credibility were characterized by adequate repeatability indices obtained from between-trial, between-day and between and within assessor studies. Generally, the highest reliability indices were found for the sagittal plane kinematics. Within-subject variability was found to be the lowest, contrarily, between-subject and between-day variabilities were found to be highest. Interpretation: Reported repeatability indices such as the coefficient of multiple correlation, standard deviation and standard error of measurement provide evidence for the continued use of 3DMFMs. While a number of published models exist, there is no adequate evidence available to support their clinical use. More reliability and validity studies are needed to confirm adequate measurement properties of 3DMFMs. © 2010 Elsevier B.V.


Deschamps K.,Catholic University of Leuven | Deschamps K.,University Hospital Pellenberg | Staes F.,Catholic University of Leuven | Desmet D.,Catholic University of Leuven | And 7 more authors.
Gait and Posture | Year: 2015

Comparing plantar pressure measurements (PPM) of a patient following an intervention or between a reference group and a patient-group is common practice in clinical gait analysis. However, this process is often time consuming and complex, and commercially available software often lacks powerful visualization and interpretation tools. In this paper, we propose a simple method for displaying pixel-level PPM deviations relative to a so-called reference PPM pattern. The novel method contains 3 distinct stages: (1) a normalization of pedobarographic fields (for foot length and width), (2) a pixel-level z-score based calculation and, (3) color coding of the normalized pedobarographic fields. The methodological steps associated to this novel method are precisely described and clinical output illustrated. We believe that the advantages of the novel method cover several domains. The strongest advantage of the novel method is that it provides a straightforward visual interpretation of PPM without decreasing the resolution perspective. A second advantage is that it may guide the selection of a local mapping technique (data reduction technique). Finally, it may be easily used as education tool during the therapist-patient interaction. © 2014 Elsevier B.V.


Deschamps K.,University Hospital Leuven | Deschamps K.,University Hospital Pellenberg | Deschamps K.,University Hospitals Leuven | Deschamps K.,Institute dEnseignement Superieur Parnasse Deux Alice | And 13 more authors.
Clinical Biomechanics | Year: 2013

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. © 2013 Elsevier Ltd.


Deschamps K.,University Hospitals Leuven | Deschamps K.,Musculoskeletal Rehabilitation Research Group | Deschamps K.,University Hospital Pellenberg | Deschamps K.,Institute dEnseignement Superieur Parnasse Deux Alice | And 9 more authors.
Journal of Sports Medicine and Physical Fitness | Year: 2015

The non-invasive nature of pedobarographic measurements is particularly attractive to researchers for analyzing and characterizing the impact of specific pathological foot conditions. However, adequate clinical use of pedobarographic technology requires a profound technical and methodological knowledge. Several papers summarized the technical capacities of pedobarographic technology. Moreover, methodological expertise has grown considerably during the last two decades. Therefore, two crucial decisions have to be made before pathomechanical modelling or functional interpretation of foot and lower limb disorders can be pursued. The first is the selection of the specific method to analyse the dynamic plantar footprint, and the second is the choice of parameters to quantify the results. In the first part of this paper, we review the different methods used to analyse the dynamic plantar footprint and discuss their conceptual backgrounds. We also aim to illustrate the clinical relevance of each method and elaborate on the future perspectives. In the second part, we review quantification methods of pedobarographic measurements. The latter is of primary relevance to clinicians and investigators with a special interest in foot and lower limb biomechanics.

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