Surface marker cluster translation, rotation, scaling and deformation: Their contribution to soft tissue artefact and impact on knee joint kinematics

When recording human movement with stereophotogrammetry, skin deformation and displacement (soft tissue artefact; STA) inhibits surface markers’ ability to validly represent the movement of the underlying bone. To resolve this issue, the components of marker motions which contribute to STA must be u...

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Bibliographic Details
Published in:Journal of biomechanics Vol. 48; no. 10; pp. 2124 - 2129
Main Authors: Benoit, D.L., Damsgaard, M., Andersen, M.S.
Format: Journal Article
Language:English
Published: United States Elsevier Ltd 16.07.2015
Elsevier Limited
Subjects:
Adult
Algorithms
Artefacts
Biomechanical Phenomena
Bones
Clusters
Conflicts of interest
Deformation
Gait analysis
Human motion
Humans
In vivo
Joint surgery
Kinematics
Knee
Knee Joint - physiology
Male
Markers
Movement
Photogrammetry - methods
Physical Medicine and Rehabilitation
Principal components analysis
Skin
Soft tissue artifact
Translations
Walking
Young Adult
Knee
In vivo
Soft tissue artifact
Gait analysis
Kinematics
ISSN:0021-9290, 1873-2380, 1873-2380
Online Access:Get full text
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Summary:When recording human movement with stereophotogrammetry, skin deformation and displacement (soft tissue artefact; STA) inhibits surface markers’ ability to validly represent the movement of the underlying bone. To resolve this issue, the components of marker motions which contribute to STA must be understood. The purpose of this study is to describe and quantify which components of this marker motion (cluster translation, rotation, scaling and deformation) contribute to STA during the stance phase of walking, a cutting manoeuvre, and one-legged hops. In vivo bone pin-based tibio-femoral kinematics of six healthy subjects were used to study skin marker-based STA. To quantify how total cluster translation, rotation, scaling and deformation contribute to STA, a resizable and deformable cluster model was constructed. STA was found to be greater in the thigh than the shank during all three movements. We found that the non-rigid (i.e. scaling and deformation) movements contribute very little to the overall amount of error, rendering surface marker optimisation methods aimed at minimising this component superfluous. The results of the current study indicate that procedures designed to account for cluster translation and rotation during human movement are required to correctly represent the motion of body segments, however reducing marker cluster scaling and deformation will have little effect on STA.
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ISSN:0021-9290
1873-2380
1873-2380
DOI:10.1016/j.jbiomech.2015.02.050