Soft tissue artifact distribution on lower limbs during treadmill gait: Influence of skin markers' location on cluster design.

Details

Serval ID
serval:BIB_ABF8E75CF076
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Soft tissue artifact distribution on lower limbs during treadmill gait: Influence of skin markers' location on cluster design.
Journal
Journal of Biomechanics
Author(s)
Barré A., Jolles B.M., Theumann N., Aminian K.
ISSN
1873-2380 (Electronic)
ISSN-L
0021-9290
Publication state
Published
Issued date
2015
Peer-reviewed
Oui
Volume
48
Number
10
Pages
1965-1971
Language
english
Notes
Publication types: Journal ArticlePublication Status: ppublish
Abstract
Segment poses and joint kinematics estimated from skin markers are highly affected by soft tissue artifact (STA) and its rigid motion component (STARM). While four marker-clusters could decrease the STA non-rigid motion during gait activity, other data, such as marker location or STARM patterns, would be crucial to compensate for STA in clinical gait analysis. The present study proposed 1) to devise a comprehensive average map illustrating the spatial distribution of STA for the lower limb during treadmill gait and 2) to analyze STARM from four marker-clusters assigned to areas extracted from spatial distribution. All experiments were realized using a stereophotogrammetric system to track the skin markers and a bi-plane fluoroscopic system to track the knee prosthesis. Computation of the spatial distribution of STA was realized on 19 subjects using 80 markers apposed on the lower limb. Three different areas were extracted from the distribution map of the thigh. The marker displacement reached a maximum of 24.9mm and 15.3mm in the proximal areas of thigh and shank, respectively. STARM was larger on thigh than the shank with RMS error in cluster orientations between 1.2° and 8.1°. The translation RMS errors were also large (3.0mm to 16.2mm). No marker-cluster correctly compensated for STARM. However, the coefficient of multiple correlations exhibited excellent scores between skin and bone kinematics, as well as for STARM between subjects. These correlations highlight dependencies between STARM and the kinematic components. This study provides new insights for modeling STARM for gait activity.
Pubmed
Web of science
Create date
27/08/2015 10:45
Last modification date
20/08/2019 16:15
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