Identifying car ingress movement strategies before and after total knee replacement

Abstract

Background: Post-operative performance of knee bearings is typically assessed in activities of daily living by means of motion capture. Biomechanical studies predominantly explore common tasks such as walking, standing and stair climbing, while overlooking equally demanding activities such as embarking a vehicle. Aims: The aim of this work is to evaluate changes in the movement habits of patients after total knee arthroplasty surgery in comparison to healthy age-matched control participants. Methods: A mock-up car was fabricated based on the architecture of a common vehicle. Ten control participants and 10 patients with severe osteoarthritis of the knee attended a single- and three-motion capture session(s), respectively. Participants were asked to enter the car and sit comfortably adopting a driving position. Three trials per session were used for the identification of movement strategies by means of hierarchical clustering. Task completion time was also measured. Results: Patients’ movement behaviour didn’t change significantly following total knee arthroplasty surgery. Control participants favoured different movement strategies compared to patients post-operatively. Group membership, height and sidedness of the affected joint were found to be non-significant in task completion time. Conclusion: This study describes an alternative movement identification technique for the analysis of the ingress movement that may be used to clinically assess knee bearings and aid in movement simulations and vehicle design.

Publication DOI: https://doi.org/10.1080/23335432.2020.1716847
Divisions: College of Engineering & Physical Sciences > School of Engineering and Technology > Mechanical, Biomedical & Design
College of Engineering & Physical Sciences > School of Engineering and Technology
Additional Information: © 2020 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use,distribution, and reproduction in any medium, provided the original work is properly cited.
Uncontrolled Keywords: biomechanics,hierarchical clustering,motion analysis,Movement strategy identification,osteoarthritis,total knee arthroplasty,Biomedical Engineering,Orthopedics and Sports Medicine,Physical Therapy, Sports Therapy and Rehabilitation,Rehabilitation,Computer Science Applications
Publication ISSN: 2333-5432
Last Modified: 25 Apr 2024 07:20
Date Deposited: 08 Feb 2023 14:43
Full Text Link:
Related URLs: https://www.tan ... 32.2020.1716847 (Publisher URL)
PURE Output Type: Article
Published Date: 2020-01-22
Published Online Date: 2020-01-22
Accepted Date: 2020-01-06
Authors: Komaris, Sokratis (ORCID Profile 0000-0003-4623-9060)
Govind, Cheral
Clarke, Jon
Ewen, Alistair
Jeldi, Artaban
Murphy, Andrew
Riches, Philip

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