Literature DB >> 23782791

Soft tissue artifact assessment during treadmill walking in subjects with total knee arthroplasty.

Arnaud Barre, Jean-Philippe Thiran, Brigitte M Jolles, Nicolas Theumann, Kamiar Aminian.   

Abstract

Accurate measurement of knee kinematics during functional activities suffers mainly from soft tissue artifact (STA): the combination of local surface deformations and rigid movement of markers relative to the underlying bone (also called rigid STA movement: RSTAM). This study proposes to assess RSTAM on the thigh, shank, and knee joint and to observe possible features between subjects. Nineteen subjects with knee arthroplasty were asked to walk on a treadmill while a biplane fluoroscopic system (X-rays) and a stereophotogrammetric system (skin markers) recorded their knee movement. The RSTAM was defined as the rigid movement of the cluster of skin markers relative to the prosthesis. The results showed that RSTAM amplitude represents approximately 80-100% of the STA. The vertical axis of the anatomical frame of the femur was influenced the most by RSTAM. Combined with tibial error, internal/external rotation angle and distraction-compression were the knee kinematics parameters most affected by RSTAM during the gait cycle, with average rms values of 3.8° and 11.1 mm. This study highlighted higher RSTAM during the swing phase particularly in the thigh segment and suggests new features for RSTAM such as the particular shape of some RSTAM waveforms and the absence of RSTAM in certain kinematics during the gait phases. The comparison of coefficient of multiple correlations showed some similarities of RSTAM between subjects, while some correlations were found with gait speed and BMI. These new insights could potentially allow the development of new methods of compensation to avoid STA.

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Year:  2013        PMID: 23782791     DOI: 10.1109/TBME.2013.2268938

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  8 in total

1.  Error performances of a model-based biplane fluoroscopic system for tracking knee prosthesis during treadmill gait task.

Authors:  Arnaud Barré; Kamiar Aminian
Journal:  Med Biol Eng Comput       Date:  2017-07-18       Impact factor: 2.602

2.  Measuring clinically relevant knee motion with a self-calibrated wearable sensor.

Authors:  Todd J Hullfish; Feini Qu; Brendan D Stoeckl; Peter M Gebhard; Robert L Mauck; Josh R Baxter
Journal:  J Biomech       Date:  2019-04-05       Impact factor: 2.712

Review 3.  The helical axis of anatomical joints: calculation methods, literature review, and software implementation.

Authors:  Andrea Ancillao
Journal:  Med Biol Eng Comput       Date:  2022-05-12       Impact factor: 2.602

4.  Detection and Classification of Artifact Distortions in Optical Motion Capture Sequences.

Authors:  Przemysław Skurowski; Magdalena Pawlyta
Journal:  Sensors (Basel)       Date:  2022-05-27       Impact factor: 3.847

5.  Integrating dynamic stereo-radiography and surface-based motion data for subject-specific musculoskeletal dynamic modeling.

Authors:  Liying Zheng; Kang Li; Snehal Shetye; Xudong Zhang
Journal:  J Biomech       Date:  2014-08-15       Impact factor: 2.712

6.  Description of soft tissue artifacts and related consequences on hindlimb kinematics during canine gait.

Authors:  Cheng-Chung Lin; Shi-Nuan Wang; Ming Lu; Tzu-Yi Chao; Tung-Wu Lu; Ching-Ho Wu
Journal:  PeerJ       Date:  2020-06-26       Impact factor: 2.984

7.  Testing Precision and Accuracy of an Upper Extremity Proprioceptive Targeting Task Assessment.

Authors:  Julia A Dunn; Carolyn E Taylor; Bob Wong; Heath B Henninger; Kent N Bachus; Kenneth B Foreman
Journal:  Arch Rehabil Res Clin Transl       Date:  2022-05-11

8.  An Auto-Calibrating Knee Flexion-Extension Axis Estimator Using Principal Component Analysis with Inertial Sensors.

Authors:  Timothy McGrath; Richard Fineman; Leia Stirling
Journal:  Sensors (Basel)       Date:  2018-06-08       Impact factor: 3.576

  8 in total

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