Concurrent validation of inertial sensors for measurement of knee kinematics in individuals with knee osteoarthritis: A technical report

Author(s):  
Tara Binnie ◽  
Anne Smith ◽  
Peter Kent ◽  
Leo Ng ◽  
Peter O’Sullivan ◽  
...  
2021 ◽  
Author(s):  
Martin Huber ◽  
Matthew Eschbach ◽  
Kazem Kazerounian ◽  
Horea T. Ilies

Abstract Knee osteoarthritis (OA) is a disease that compromises the cartilage inside the knee joint, resulting in pain and impaired mobility. Bracing is a common treatment, however currently prescribed braces cannot treat bicompartmental knee OA, fail to consider the muscle weakness that typically accompanies the disease, and utilize hinges that restrict the knee's natural biomechanics. We have developed and evaluated a brace which addresses these shortcomings. This process has respected three principal design goals: reducing the load experienced across the entire knee joint, generating a supportive moment to aid the muscles in shock absorption, and interfering minimally with gait kinematics. Load reduction is achieved via the compression of medial and lateral leaf springs, and magnetorheological dampers provide the supportive moment during knee loading. A novel, personalized joint mechanism replaces a traditional hinge to reduce interference with knee kinematics. Using motion capture gait analysis, we evaluated the basic functionality of a prototype device. We calculated, via inverse dynamics analysis, the reaction forces at the knee joint and the moments generated by the leg muscles during gait. Comparing these values between braced and unbraced trials allowed us to evaluate the system's effectiveness. Kinematic measurements showed the extent to which the brace interfered with natural gait characteristics. Of the three design goals: a reduction in knee contact forces was demonstrated; increased shock absorption was observed, but not to statistical significance; and natural gait was largely preserved. The techniques presented in this paper could lead to improved OA treatment through patient-specific braces.


2020 ◽  
Vol 80 ◽  
pp. 105232
Author(s):  
Kerry E. Costello ◽  
Samantha Eigenbrot ◽  
Alex Geronimo ◽  
Ali Guermazi ◽  
David T. Felson ◽  
...  

The Knee ◽  
2012 ◽  
Vol 19 (5) ◽  
pp. 628-632 ◽  
Author(s):  
Yasuharu Nagano ◽  
Kenji Naito ◽  
Yasuaki Saho ◽  
Suguru Torii ◽  
Toru Ogata ◽  
...  

2012 ◽  
Vol 28 (5) ◽  
pp. 560-567 ◽  
Author(s):  
Inga Krauss ◽  
Thomas Ukelo ◽  
Christoph Ziegler ◽  
Detlef Axmann ◽  
Stefan Grau ◽  
...  

Results from instrumented gait analysis vary between test situations. Subject characteristics and the biomechanical model can influence the total amount of variability. The purpose of this study was to quantify reliability of gait data in general, and with respect to the applied model, and investigated population group. Reliability was compared between a functional and a predictive gait model in subjects with knee osteoarthritis and healthy controls. Day-to-day consistency for sagittal plane variables was comparable between models and population groups. Transversal plane variables relative to joint excursion showed larger inconsistency for repeated measures, even for a more sophisticated biomechanical approach. In conclusion, the presented reliability data of sagittal plane kinematics should be used for a reasonable interpretation of results derived in clinical gait analysis. Variables of the transversal plane should not be used as long as sources of error are not sufficiently minimized.


2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Hanna Ulbricht ◽  
Meijin Hou ◽  
Xiangbin Wang ◽  
Jian He ◽  
Yanxin Zhang

In gait analysis, the accuracy of knee joint angles and moments is critical for clinical decision-making. The purpose of this study was to determine the efficacy of two existing algorithms for knee joint axis correction under pathological conditions. Gait data from 20 healthy participants and 20 patients with knee osteoarthritis (OA) were collected using a motion capture system. An algorithm based on Principal Component Analysis (PCA) and a functional joint-based algorithm (FJA) were used to define the knee joint flexion axis. The results show that PCA decreased crosstalk for both groups, and FJA reduced crosstalk in patients with knee OA only. PCA decreased the range of motions of patients with knee OA in the direction of abduction/adduction significantly. There was a significant increase in the maximum knee flexion moment of patients with knee OA by FJA. The results indicate that both algorithms can efficiently reduce crosstalk for gait from patients with knee OA, which can further influence the results of knee joint angles and moments. We recommend that the correction algorithms be applied in clinical gait analysis with patients with knee OA.


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