Research Data Leeds Repository

Citation

Shuttleworth, Matthew P. and Vickers, Oliver and Smeeton, Mackenzie and Board, Tim and Isaac, Graham H. and Culmer, Peter R. and Williams, Sophie and Kay, Robert W. (2023) Dual-Mobility Hip Implant Liner Tracker Validation Data. University of Leeds. [Dataset] https://doi.org/10.5518/1232

Dataset description

Dual mobility (DM) implants are being increasingly used for total hip arthroplasties due to additional range of motion and joint stability they afford over more traditional implant types. Currently there are no reported methods for monitoring their motions under realistic operating conditions and therefore, it is challenging to predict how they will function under clinically relevant conditions and what failure modes may exist. This repository contains the validation data and required post-processing scripts for a novel inertial tracking system that directly mounts to the mobile liner of DM implants. The tracker was custom built and based on a low-cost, off-the-shelf inertial measurement unit (IMU) and employed a gradient-decent sensor fusion algorithm for amalgamating nine degree-of-freedom IMU readings into three-axis orientation estimates. Additionally, a novel approach to magnetic interference mitigation using a fixed solenoid and magnetic field simulation was evaluated.

Keywords:	Hip Implant, Inertial Tracking
Subjects:	B000 - Subjects allied to medicine > B800 - Medical technology > B830 - Biomechanics & prosthetics (non-clinical)
Divisions:	Faculty of Biological Sciences > Institute of Medical and Biological Engineering Faculty of Engineering and Physical Sciences > Institute of Medical and Biological Engineering Faculty of Engineering and Physical Sciences > School of Mechanical Engineering > Institute of Medical and Biological Engineering Faculty of Engineering and Physical Sciences > School of Mechanical Engineering
Related resources:	Location Type https://doi.org/10.3390/s23020904 Publication https://eprints.whiterose.ac.uk/195207/ Publication
License:	Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited:	12 Apr 2023 16:55
URI:	https://archive.researchdata.leeds.ac.uk/id/eprint/1088
Additional details Additional details Creators or authors: Creators ORCID Other ID Email Primary affiliation Primary affiliation ID Primary affiliation ID type Secondary affiliation Secondary affiliation ID Secondary affiliation ID type Shuttleworth, Matthew P. https://orcid.org/0000-0002-0538-6438 University of Leeds https://ror.org/024mrxd33 ror Vickers, Oliver https://orcid.org/0000-0002-0682-5148 University of Leeds https://ror.org/024mrxd33 ror Smeeton, Mackenzie https://orcid.org/0000-0001-7639-1368 University of Leeds https://ror.org/024mrxd33 ror Board, Tim https://orcid.org/0000-0002-3295-2087 University of Leeds https://ror.org/024mrxd33 ror Isaac, Graham H. https://orcid.org/0000-0003-2613-3496 University of Leeds https://ror.org/024mrxd33 ror Culmer, Peter R. https://orcid.org/0000-0003-2867-0420 University of Leeds https://ror.org/024mrxd33 ror Williams, Sophie https://orcid.org/0000-0002-6963-965X University of Leeds https://ror.org/024mrxd33 ror Kay, Robert W. https://orcid.org/0000-0002-2283-3789 University of Leeds https://ror.org/024mrxd33 ror Type of data: Dataset Research funders: EPSRC Grant numbers: EP/R003971/1 Publication date: 2023 Resource language: English Metadata language: English Publisher: University of Leeds Contact email: m.p.shuttleworth@leeds.ac.uk Last Modified: 02 Sep 2024 13:43

Files

Documentation

Readme [4kB] Readme [4kB] Readme [4kB] Security: Anyone File name: README_Shuttleworth-etal_2023.txt Content type: Documentation Mime-Type: text/plain License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 4kB

Data

DM THR Tracker Validation Data [368MB] DM THR Tracker Validation Data [368MB] DM THR Tracker Validation Data [368MB] Security: Anyone File name: DM_THR_Tracker_Validation_Data.zip Content type: Data Description: Datasets and MATLAB post-processing scripts Mime-Type: application/zip License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 368MB