Literature DB >> 23886970

Acceleration-based joint stability parameters for total knee arthroplasty that correspond with patient-reported instability.

Dustyn Roberts1, Humera Khan, Joo H Kim, James Slover, Peter S Walker.   

Abstract

There is no universally accepted definition of human joint stability, particularly in nonperiodic general activities of daily living. Instability has proven to be a difficult parameter to define and quantify, since both spatial and temporal measures need to be considered to fully characterize joint stability. In this preliminary study, acceleration-based parameters were proposed to characterize the joint stability. Several time-statistical parameters of acceleration and jerk were defined as potential stability measures, since anomalous acceleration or jerk could be a symptom of poor control or stability. An inertial measurement unit attached at the level of the tibial tubercle of controls and patients following total knee arthroplasty was used to determine linear acceleration of the knee joint during several activities of daily living. The resulting accelerations and jerks were compared with patient-reported instability as determined through a standard questionnaire. Several parameters based on accelerations and jerks in the anterior/posterior direction during the step-up/step-down activity were significantly different between patients and controls and correlated with patient reports of instability in that activity. The range of the positive to negative peak acceleration and infinity norm of acceleration, in the anterior/posterior direction during the step-up/step-down activity, proved to be the best indicators of instability. As time derivatives of displacement, these acceleration-based parameters represent spatial and temporal information and are an important step forward in developing a definition and objective quantification of human joint stability that can complement the subjective patient report.

Entities:  

Keywords:  Acceleration; activities of daily living; inertial measurement unit; jerk; joint stability; patient report; stability; total knee arthroplasty; total knee replacement

Mesh:

Year:  2013        PMID: 23886970     DOI: 10.1177/0954411913493724

Source DB:  PubMed          Journal:  Proc Inst Mech Eng H        ISSN: 0954-4119            Impact factor:   1.617


  5 in total

1.  Assessing Stability of Crutch Users by Non-Contact Methods.

Authors:  Achilles Vairis; Suzana Brown; Maurice Bess; Kyu Hyun Bae; Jonathan Boyack
Journal:  Int J Environ Res Public Health       Date:  2021-03-15       Impact factor: 3.390

2.  Motion Sensors-Based Machine Learning Approach for the Identification of Anterior Cruciate Ligament Gait Patterns in On-the-Field Activities in Rugby Players.

Authors:  Salvatore Tedesco; Colum Crowe; Andrew Ryan; Marco Sica; Sebastian Scheurer; Amanda M Clifford; Kenneth N Brown; Brendan O'Flynn
Journal:  Sensors (Basel)       Date:  2020-05-27       Impact factor: 3.576

Review 3.  A Systematic Review of Diagnostic Accuracy and Clinical Applications of Wearable Movement Sensors for Knee Joint Rehabilitation.

Authors:  Robert Prill; Marina Walter; Aleksandra Królikowska; Roland Becker
Journal:  Sensors (Basel)       Date:  2021-12-09       Impact factor: 3.576

4.  Smoothness of the knee joint movement during the stance phase in patients with severe knee osteoarthritis.

Authors:  Takashi Fukaya; Hirotaka Mutsuzaki; Wataru Nakano; Koichi Mori
Journal:  Asia Pac J Sports Med Arthrosc Rehabil Technol       Date:  2018-09-04

5.  Current clinical utilisation of wearable motion sensors for the assessment of outcome following knee arthroplasty: a scoping review.

Authors:  Scott R Small; Garrett S Bullock; Sara Khalid; Karen Barker; Marialena Trivella; Andrew James Price
Journal:  BMJ Open       Date:  2019-12-29       Impact factor: 2.692

  5 in total

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