Literature DB >> 26091618

A model of the soft tissue artefact rigid component.

V Camomilla1, T Bonci2, R Dumas3, L Chèze3, A Cappozzo4.   

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.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Human movement analysis; Modelling; Soft tissue artefact; Soft tissue deformation; Stereophotogrammetry

Mesh:

Year:  2015        PMID: 26091618     DOI: 10.1016/j.jbiomech.2015.05.007

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  7 in total

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

Authors:  Niccolo M Fiorentino; Penny R Atkins; Michael J Kutschke; K Bo Foreman; Andrew E Anderson
Journal:  J Biomech       Date:  2020-06-13       Impact factor: 2.712

2.  IMU-based sensor-to-segment multiple calibration for upper limb joint angle measurement-a proof of concept.

Authors:  Mahdi Zabat; Amina Ababou; Noureddine Ababou; Raphaël Dumas
Journal:  Med Biol Eng Comput       Date:  2019-08-30       Impact factor: 2.602

3.  Evaluation of functional methods of joint centre determination for quasi-planar movement.

Authors:  Lin Meng; Craig Childs; Arjan Buis
Journal:  PLoS One       Date:  2019-01-17       Impact factor: 3.240

4.  Validation of Novel Relative Orientation and Inertial Sensor-to-Segment Alignment Algorithms for Estimating 3D Hip Joint Angles.

Authors:  Lukas Adamowicz; Reed D Gurchiek; Jonathan Ferri; Anna T Ursiny; Niccolo Fiorentino; Ryan S McGinnis
Journal:  Sensors (Basel)       Date:  2019-11-24       Impact factor: 3.576

5.  Lumbar segment-dependent soft tissue artifacts of skin markers during in vivo weight-bearing forward-Backward bending.

Authors:  Xin Xi; Zhi Ling; Cong Wang; Chunya Gu; Xuqiang Zhan; Haixin Yu; Siqi Lu; Tsung-Yuan Tsai; Yan Yu; Liming Cheng
Journal:  Front Bioeng Biotechnol       Date:  2022-08-17

6.  Joint Center Estimation Using Single-Frame Optimization: Part 1: Numerical Simulation.

Authors:  Eric Frick; Salam Rahmatalla
Journal:  Sensors (Basel)       Date:  2018-04-04       Impact factor: 3.576

7.  Joint Center Estimation Using Single-Frame Optimization: Part 2: Experimentation.

Authors:  Eric Frick; Salam Rahmatalla
Journal:  Sensors (Basel)       Date:  2018-08-05       Impact factor: 3.576

  7 in total

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