Development of a Multi-Sensor Array for Non-Radiographic Micromotion Detection of Joint Prostheses


Total joint arthroplasty procedures are increasing year on year, however, the complications that are associated with the joint arthroplasty remain. Using total elbow arthroplasty as a case study due to the high loosening rates, a technique has been further developed to accurately monitor the position of the prosthesis. Micromotion detection of endoprosthetic elbow prostheses is vital for longevity along with timely, adequate treatment. At present, radiographs are used to monitor the prostheses position at the macro-scale which lacks in early detection of prostheses loosening. In this work, a multiple magnetic sensor (multi-sensor) configuration was designed that can detect real-time micromotion of the elbow prosthesis without the use of radiographs. The proposed approach can detect 0.15 mm micromotion with an average error below 0.05 mm linearly. This method also eliminated the tilting effect and increase the sensitivity of the system to 18 mm along with improving the signal to noise ratio and reducing RMS error compared to a single sensor configuration.

Publication DOI:
Divisions: College of Engineering & Physical Sciences > School of Engineering and Technology > Mechanical, Biomedical & Design
College of Engineering & Physical Sciences > Aston Institute of Materials Research (AIMR)
Additional Information: Copyright © 2022, IEEE. This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Personal use is permitted, but republication/redistribution requires IEEE permission. See for more information. Funding Information: This work was supported in part by Aston University and in part by Sandwell and West Birmingham Hospital.
Uncontrolled Keywords: Aseptic loosening,joint arthroplasty,magnetic sensors array,non-radiographic detection,Instrumentation,Electrical and Electronic Engineering
Publication ISSN: 1558-1748
Last Modified: 17 Jun 2024 08:01
Date Deposited: 22 Feb 2022 16:12
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Related URLs: https://ieeexpl ... ocument/9717226 (Publisher URL)
http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Article
Published Date: 2022-04-01
Published Online Date: 2022-02-18
Accepted Date: 2022-02-11
Authors: Khan, Muhammad Moid Khalid
Deshmukh, Subodh
Theivendran, Kanthan
Leslie, Laura (ORCID Profile 0000-0002-7925-9589)
Junaid, S (ORCID Profile 0000-0001-9460-710X)



Version: Accepted Version

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