A model of the soft tissue artefact rigid component. Issue 10 (16th July 2015)

• Record Type: Journal Article
• Authors: Camomilla, V.; Bonci, T.; Dumas, R.; Chèze, L.; Cappozzo, A.
• Is Part Of: Journal of biomechanics. Volume 48:Issue 10(2015)
• Page Start: 1752
• Page End: 1759
• Publication Date: 2015-07-16
• Subjects: Stereophotogrammetry -- Soft tissue artefact -- Human movement analysis -- Modelling -- Soft tissue deformation; Animal mechanics -- Periodicals; Biomechanics -- Periodicals; Biomechanics -- Periodicals; Mécanique animale -- Périodiques; Biomécanique -- Périodiques; Electronic journals; 571.4305
• DOI: 10.1016/j.jbiomech.2015.05.007
• Languages: English
• ISSNs: 0021-9290

Abstract

Abstract: When using stereophotogrammetry and skin-markers, the reconstruction of skeletal movement is affected by soft-tissue artefact (STA). This may be described by considering a marker–cluster as a deformable shape undergoing a geometric transformation formed by a non-rigid (change in size and shape) and a rigid component (translation and rotation displacements). A modal decomposition of the STA, relative to an appropriately identified basis, allows the separation of these components. This study proposes a mathematical model of the STA that embeds only its rigid component and estimates the relevant six mode amplitudes as linear functions of selected proximal and distal joint rotations during the analysed task. This model was successfully calibrated for thigh and shank using simultaneously recorded pin- and skin-marker data of running volunteers. The root mean square difference between measured and model-estimated STA rigid component was 1.1(0.8) mm (median (inter-quartile range) over 3 subjects×5 trials×33 markers coordinates), and it was mostly due to the wobbling not included in the model. Knee joint kinematics was estimated using reference pin-marker data and skin-marker data, both raw and compensated with the model-estimated STA. STA compensation decreased inaccuracy on average from 6% to 1% for flexion/extension, from 43% to 18% for the other two rotations, and from 69% to 25% for the linear displacements. Thus, the proposed mathematical model provides an STA estimate which can be effectively used within optimal bone pose and joint kinematics estimators for artefact compensation, and for simulations aimed at their comparative assessments.