Literature DB >> 23122220

Ambulatory measurement of the knee adduction moment in patients with osteoarthritis of the knee.

Josien J C van den Noort1, Martin van der Esch, Martijn P M Steultjens, Joost Dekker, Martin H M Schepers, Peter H Veltink, Jaap Harlaar.   

Abstract

High knee joint-loading increases the risk and progression of knee osteoarthritis (OA). Mechanical loading on the knee is reflected in the external knee adduction moment (KAdM) that can be measured during gait with laboratory-based measurement systems. However, clinical application of these systems is limited. Ambulatory movement analysis systems, including instrumented force shoes (IFS) and an inertial and magnetic measurement system (IMMS), could potentially be used to determine the KAdM in a laboratory-free setting. Promising results have been reported concerning the use of the IFS in KAdM measurements; however its application in combination with IMMS has not been studied. The objective of this study was to compare the KAdM measured with an ambulatory movement analysis system with a laboratory-based system in patients with knee OA. Gait analyses of 14 knee OA patients were performed in a gait laboratory. The KAdM was concurrently determined with two the systems: (i) Ambulatory: IFS and IMMS in combination with a linked-segment model (to obtain joint positions); (ii) Laboratory: force plate and optoelectronic marker system. Mean differences in KAdM between the ambulatory and laboratory system were not significant (maximal difference 0.20%BW*H in late stance, i.e. 5.6% of KAdM range, P>0.05) and below clinical relevant and hypothesized differences, showing no systematic differences at group level. Absolute differences were on average 24% of KAdM range, i.e. 0.83%BW*H, particularly in early and late stance. To achieve greater accuracy for clinical use, estimation of joint position via a more advanced calibrated linked-segment model should be investigated.
Copyright © 2012 Elsevier Ltd. All rights reserved.

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Year:  2012        PMID: 23122220     DOI: 10.1016/j.jbiomech.2012.09.030

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


  8 in total

1.  Reliability and precision of 3D wireless measurement of scapular kinematics.

Authors:  Josien C van den Noort; Suzanne H Wiertsema; Karin M C Hekman; Casper P Schönhuth; Joost Dekker; Jaap Harlaar
Journal:  Med Biol Eng Comput       Date:  2014-09-06       Impact factor: 2.602

2.  Gait characteristics before hardware removal in patients operated upon for tibial plateau fractures.

Authors:  Bogdan Deleanu; Radu Prejbeanu; Dan Crisan; Vlad Predescu; Iulian Popa; Dan V Poenaru
Journal:  Int Orthop       Date:  2015-02-12       Impact factor: 3.075

3.  A neural network to predict the knee adduction moment in patients with osteoarthritis using anatomical landmarks obtainable from 2D video analysis.

Authors:  M A Boswell; S D Uhlrich; Ł Kidziński; K Thomas; J A Kolesar; G E Gold; G S Beaupre; S L Delp
Journal:  Osteoarthritis Cartilage       Date:  2021-01-07       Impact factor: 6.576

4.  Estimation of Ground Reaction Forces and Moments During Gait Using Only Inertial Motion Capture.

Authors:  Angelos Karatsidis; Giovanni Bellusci; H Martin Schepers; Mark de Zee; Michael S Andersen; Peter H Veltink
Journal:  Sensors (Basel)       Date:  2016-12-31       Impact factor: 3.576

5.  A Machine Learning and Wearable Sensor Based Approach to Estimate External Knee Flexion and Adduction Moments During Various Locomotion Tasks.

Authors:  Bernd J Stetter; Frieder C Krafft; Steffen Ringhof; Thorsten Stein; Stefan Sell
Journal:  Front Bioeng Biotechnol       Date:  2020-01-24

Review 6.  Wearable Inertial Sensors for Gait Analysis in Adults with Osteoarthritis-A Scoping Review.

Authors:  Dylan Kobsar; Zaryan Masood; Heba Khan; Noha Khalil; Marium Yossri Kiwan; Sarah Ridd; Matthew Tobis
Journal:  Sensors (Basel)       Date:  2020-12-13       Impact factor: 3.576

Review 7.  Inertial Motion Capture-Based Wearable Systems for Estimation of Joint Kinetics: A Systematic Review.

Authors:  Chang June Lee; Jung Keun Lee
Journal:  Sensors (Basel)       Date:  2022-03-25       Impact factor: 3.576

Review 8.  Sensor-to-Segment Calibration Methodologies for Lower-Body Kinematic Analysis with Inertial Sensors: A Systematic Review.

Authors:  Léonie Pacher; Christian Chatellier; Rodolphe Vauzelle; Laetitia Fradet
Journal:  Sensors (Basel)       Date:  2020-06-11       Impact factor: 3.576

  8 in total

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