Inertial Tracking System for Monitoring Dual Mobility Hip Implants In Vitro.

dual mobility hip replacement implants inertial tracking orientation measurement sensor fusion

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
12 Jan 2023
Historique:
received: 09 12 2022
revised: 05 01 2023
accepted: 10 01 2023
entrez: 21 1 2023
pubmed: 22 1 2023
medline: 25 1 2023
Statut: epublish

Résumé

Dual mobility (DM) implants are being increasingly used for total hip arthroplasties due to the 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 while in vitro and, therefore, it is challenging to predict how they will function under clinically relevant conditions and what failure modes may exist. This study reports the development, calibration, and validation of a novel inertial tracking system that directly mounts to the mobile liner of DM implants. The tracker was custom built and based on a miniaturized, 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. The system produced orientation measurements to within 1.0° of the true value under ideal conditions and 3.9° with a negligible drift while in vitro, submerged in lubricant, and without a line of sight.

Identifiants

pubmed: 36679702
pii: s23020904
doi: 10.3390/s23020904
pmc: PMC9863608
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Engineering and Physical Sciences Research Council
ID : EP/R003971/1

Références

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pubmed: 19889565
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pubmed: 22927973
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pubmed: 22275550
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pubmed: 29305445
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pubmed: 29724003
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pubmed: 33557116

Auteurs

Matthew Peter Shuttleworth (MP)

Future Manufacturing Processes Research Group, University of Leeds, Leeds LS2 9JT, UK.

Oliver Vickers (O)

Institute of Medical and Biological Sciences, University of Leeds, Leeds LS2 9JT, UK.

Mackenzie Smeeton (M)

Institute of Medical and Biological Sciences, University of Leeds, Leeds LS2 9JT, UK.

Tim Board (T)

Institute of Medical and Biological Sciences, University of Leeds, Leeds LS2 9JT, UK.
Wrightington, Wigan & Leigh NHS Foundation Trust, Wigan WN6 9EP, UK.

Graham Isaac (G)

Institute of Medical and Biological Sciences, University of Leeds, Leeds LS2 9JT, UK.

Peter Culmer (P)

Healthcare Mechatronics, University of Leeds, Leeds LS2 9JT, UK.

Sophie Williams (S)

Institute of Medical and Biological Sciences, University of Leeds, Leeds LS2 9JT, UK.

Robert William Kay (RW)

Future Manufacturing Processes Research Group, University of Leeds, Leeds LS2 9JT, UK.

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Classifications MeSH