Knee Implant Loosening Detection: A Vibration Analysis Investigation.

Détails

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Etat: Public
Version: Final published version
Licence: CC BY 4.0
ID Serval
serval:BIB_E0666464E1F4
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
Knee Implant Loosening Detection: A Vibration Analysis Investigation.
Périodique
Annals of biomedical engineering
Auteur⸱e⸱s
Arami A. (co-premier), Delaloye J.R. (co-premier), Rouhani H., Jolles B.M. (co-dernier), Aminian K. (co-dernier)
ISSN
1573-9686 (Electronic)
ISSN-L
0090-6964
Statut éditorial
Publié
Date de publication
01/2018
Peer-reviewed
Oui
Volume
46
Numéro
1
Pages
97-107
Langue
anglais
Notes
Publication types: Journal Article
Publication Status: ppublish
Résumé
Knee implant loosening is mainly caused by the weakness of the prosthesis-bone interface and is the main reason for surgical revisions. However, pre-operative diagnosis is difficult due to lack of accurate tests. In this study, we developed a vibration-based system to detect the loosening of the tibial implant of an instrumented knee prosthesis. The proposed system includes an instrumented vibrator for transcutaneous stimulation of the bone in a repeatable manner, and accelerometer sensors integrated into the implants to measure the propagated vibration. A coherence-based detection technique was proposed to distinguish the loosened implants from the secure ones. Fourteen ex vivo lower limbs were used, on which the knee prosthesis was implanted, and harmonic-forced vibration was applied on the tibia. The input-output coherence measure provided 92.26% accuracy, a high sensitivity (91.67%) and specificity (92.86%). This technique was benchmarked against power spectrum based analysis of the propagated vibration to the implant. In particular, loosening detection based on new peak appearance, peak shift, and peak flattening in power spectra showed inferior performance to the proposed coherence-based technique. As such, application of vibration on our instrumented knee prosthesis together with input-output coherence analysis enabled us to distinguish the secure from loose implants.
Mots-clé
Accelerometry, Aged, Aged, 80 and over, Female, Humans, Knee Prosthesis, Lower Extremity, Male, Middle Aged, Prosthesis Failure, Signal Processing, Computer-Assisted, Tibia, Vibration, Implant loosening, Input–output coherence, Knee prosthesis, Power spectrum density, Vibration analysis
Pubmed
Web of science
Open Access
Oui
Création de la notice
09/11/2017 19:40
Dernière modification de la notice
21/11/2022 8:24
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