Effects of Soft Tissue Artifact in the Measurement of Hand Kinematics

2020 ◽  
Vol 14 (4) ◽  
pp. 230
Author(s):  
Federica Ragni ◽  
Cinzia Amici ◽  
Alberto Borboni ◽  
Rodolfo Faglia ◽  
Valter Cappellini ◽  
...  
Keyword(s):  
Soft Tissue ◽  
Hand Kinematics ◽  
Soft Tissue Artifact

scholarly journals Bone Pose Estimation in the Presence of Soft Tissue Artifact Using Triangular Cosserat Point Elements

2015 ◽  
Vol 44 (4) ◽  
pp. 1181-1190 ◽  
Author(s):  
Dana Solav ◽  
M. B. Rubin ◽  
Andrea Cereatti ◽  
Valentina Camomilla ◽  
Alon Wolf
Keyword(s):  
Soft Tissue ◽  
Pose Estimation ◽  
Cosserat Point ◽  
Soft Tissue Artifact

Can the Effect of Soft Tissue Artifact Be Eliminated in Upper-Arm Internal-External Rotation?

2011 ◽  
Vol 27 (3) ◽  
pp. 258-265 ◽  
Author(s):  
Yanxin Zhang ◽  
David G. Lloyd ◽  
Amity C. Campbell ◽  
Jacqueline A. Alderson
Keyword(s):  
Soft Tissue ◽  
Optimization Model ◽  
External Rotation ◽  
Human Subjects ◽  
Three Dimensional ◽  
Optimization Method ◽  
Upper Arm ◽  
Movement Artifact ◽  
Sinusoidal Pattern ◽  
Soft Tissue Artifact

The purpose of this study was to quantify the effect of soft tissue artifact during three-dimensional motion capture and assess the effectiveness of an optimization method to reduce this effect. Four subjects were captured performing upper-arm internal-external rotation with retro-reflective marker sets attached to their upper extremities. A mechanical arm, with the same marker set attached, replicated the tasks human subjects performed. Artificial sinusoidal noise was then added to the recorded mechanical arm data to simulate soft tissue artifact. All data were processed by an optimization model. The result from both human and mechanical arm kinematic data demonstrates that soft tissue artifact can be reduced by an optimization model, although this error cannot be successfully eliminated. The soft tissue artifact from human subjects and the simulated soft tissue artifact from artificial sinusoidal noise were demonstrated to be considerably different. It was therefore concluded that the kinematic noise caused by skin movement artifact during upper-arm internal-external rotation does not follow a sinusoidal pattern and cannot be effectively eliminated by an optimization model.

Using MR Imaging and X-Ray Fluoroscopy to Quantify the Effects of Soft-Tissue Artifact on Measurement of Knee-Joint Kinematics

2009 ◽  
Author(s):  
Massoud Akbarshahi ◽  
Justin W. Fernandez ◽  
Anthony Schache ◽  
Richard Baker ◽  
Marcus G. Pandy
Keyword(s):  
Soft Tissue ◽  
Knee Joint ◽  
Soft Tissues ◽  
Surgical Techniques ◽  
Joint Kinematics ◽  
Segmental Motion ◽  
Coordinate Systems ◽  
Knee Joint Kinematics ◽  
Soft Tissue Artifact

The ability to accurately measure joint kinematics in vivo is of critical importance to researchers in the field of biomechanics [1]. Applications range from the quantitative evaluation of different surgical techniques, treatment methods and/or implant designs, to the development of computer-based models capable of simulating normal and pathological musculoskeletal conditions [1,2]. Currently, non-invasive marker-based three dimensional (3D) motion analysis is the most commonly used method for quantitative assessment of normal and pathological locomotion. The accuracy of this technique is influenced by movement of the soft tissues relative to the underlying bones, which causes inaccuracies in the determination of segmental anatomical coordinate systems and tracking of segmental motion. The purpose of this study was to quantify the errors in the measurement of knee-joint kinematics due solely to soft-tissue artifact (STA) in healthy subjects. To facilitate valid inter-subject comparisons of the kinematic data, relevant anatomical coordinate systems were defined using 3D bone models generated from magnetic resonance imaging (MRI).

A Femoral Clamp to Reduce Soft Tissue Artifact: Accuracy and Reliability in Measuring Three-Dimensional Knee Kinematics During Gait

2019 ◽  
Vol 142 (4) ◽  
Author(s):  
Ziyun Ding ◽  
Manuela Güdel ◽  
Samuel H. L. Smith ◽  
Richard A. Ademefun ◽  
Anthony M. J. Bull
Keyword(s):  
Soft Tissue ◽  
Knee Joint ◽  
Degrees Of Freedom ◽  
Intraclass Correlation ◽  
Joint Kinematics ◽  
Cluster Method ◽  
Coefficient Of Determination ◽  
Knee Joint Kinematics ◽  
Soft Tissue Artifact ◽  
Rigid Cluster

Abstract The accurate measurement of full six degrees-of-freedom (6DOFs) knee joint kinematics is prohibited by soft tissue artifact (STA), which remains the greatest source of error. The purpose of this study was to present and assess a new femoral clamp to reduce STA at the thigh. It was hypothesized that the device can preserve the natural knee joint kinematics pattern and outperform a conventional marker mounted rigid cluster during gait. Six healthy subjects were asked to walk barefoot on level ground with a cluster marker set (cluster gait) followed by a cluster-clamp-merged marker set (clamp gait) and their kinematics was measured using the cluster method in cluster gait and the cluster and clamp methods simultaneously in clamp gait. Two operators performed the gait measurement. A 6DOFs knee joint model was developed to enable comparison with the gold standard knee joint kinematics measured using a dual fluoroscopic imaging technique. One-dimensional (1D) paired t-tests were used to compare the knee joint kinematics waveforms between cluster gait and clamp gait. The accuracy was assessed in terms of the root-mean-square error (RMSE), coefficient of determination, and Bland–Altman plots. Interoperator reliability was assessed using the intraclass correlation coefficient (ICC). The result showed that the femoral clamp did not change the walking speed and knee joint kinematics waveforms. Additionally, clamp gait reduced the rotation and translation errors in the transverse plane and improved the interoperator reliability when compared to the rigid cluster method, suggesting a more accurate and reliable measurement of knee joint kinematics.

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

2020 ◽  
Vol 108 ◽  
pp. 109890
Author(s):  
Niccolo M. Fiorentino ◽  
Penny R. Atkins ◽  
Michael J. Kutschke ◽  
K. Bo Foreman ◽  
Andrew E. Anderson
Keyword(s):  
Soft Tissue ◽  
Rigid Body ◽  
Hip Joint ◽  
Musculoskeletal Model ◽  
Joint Kinematics ◽  
Soft Tissue Artifact ◽  
Kinematics And Kinetics

GLOBAL OPTIMIZATION METHOD APPLIED TO THE KINEMATICS OF GAIT IN PREGNANT WOMEN

2016 ◽  
Vol 16 (06) ◽  
pp. 1650084 ◽  
Author(s):  
LILIANA AGUIAR ◽  
CARLOS ANDRADE ◽  
MARCO BRANCO ◽  
RITA SANTOS-ROCHA ◽  
FILOMENA VIEIRA ◽  
...  
Keyword(s):  
Soft Tissue ◽  
Pregnant Women ◽  
Degrees Of Freedom ◽  
Morphological Changes ◽  
Optimization Method ◽  
Second Trimester ◽  
Hip Joints ◽  
Six Degrees Of Freedom ◽  
The One ◽  
Soft Tissue Artifact

Morphological changes are associated to pregnancy, such as weight gain and increased volume of the trunk. The soft tissue artifact can also increase with these characteristics and affect the real joint kinematics. The main objective of this study was to understand the effect of using three different constraining sets in the lower limb joints, in the amount of soft tissue artifact (STA) of pregnant women, in order to obtain the most appropriated joint set to be used in gait and in this population. The ankle, knee and hip joints were modeled respectively with the following characteristics: (1) Universal–revolute–spherical (URS), (2) spherical–revolute–spherical (SRS) and (3) spherical–spherical–spherical (SSS). The six degrees of freedom (6DOF) model was used as the basis for comparison and considered the one with the highest error associated to the STA. In pregnant women, the URS model seems to affect more the kinematic variables when compared with the 6DOF model. Assuming that the kinematic error associated with pregnant women is increased due to the STA, the URS model may be affecting more the angular kinematics of the knee joint. SSS model seems to be more appropriated to analyze gait in second trimester pregnant women.

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