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  4. A Robotic Glenohumeral Simulator for Investigating Prosthetic Implant Subluxation
 
research article

A Robotic Glenohumeral Simulator for Investigating Prosthetic Implant Subluxation

Mancuso, Matteo  
•
Arami, Arash  
•
Becce, Fabio
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October 1, 2019
Journal of Biomechanical Engineering

Total shoulder arthroplasty (TSA) is an effective treatment for glenohumeral (GH) osteoarthritis. However, it still suffers from a substantial rate of mechanical failure, which may be related to cyclic off-center loading of the humeral head on the glenoid. In this work, we present the design and evaluation of a GH joint robotic simulator developed to study GH translations. This five-degree-of-freedom robot was designed to replicate the rotations (±40 deg, accuracy 0.5 deg) and three-dimensional (3D) forces (up to 2 kN, with a 1% error settling time of 0.6 s) that the humeral implant exerts on the glenoid implant. We tested the performances of the simulator using force patterns measured in real patients. Moreover, we evaluated the effect of different orientations of the glenoid implant on joint stability. When simulating realistic dynamic forces and implant orientations, the simulator was able to reproduce stable behavior by measuring the translations of the humeral head of less than 24 mm with respect to the glenoid implant. Simulation with quasi-static forces showed dislocation in extreme ranges of implant orientation. The robotic GH simulator presented here was able to reproduce physiological GH forces and may therefore be used to further evaluate the effects of glenoid implant design and orientation on joint stability.

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Type
research article
DOI
10.1115/1.4044388
Author(s)
Mancuso, Matteo  
Arami, Arash  
Becce, Fabio
Farron, Alain
Terrier, Alexandre  
Aminian, Kamiar  
Date Issued

2019-10-01

Published in
Journal of Biomechanical Engineering
Volume

142

Issue

1

Article Number

015001

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LMAM  
FunderGrant Number

FNS

CR32I2_162766

Available on Infoscience
January 22, 2020
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/164746
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