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Monitoring Osseointegration Process Using Vibration Analysis

Osseointegration implant has attracted significant attention as an alternative treatment for transfemoral amputees. It has been shown to improve patients’ sitting and walking comfort and control of the artificial limb, compared to the conventional socket device. However, the patients treated with os...

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Autores principales: Lu, Shouxun, Vien, Benjamin Steven, Russ, Matthias, Fitzgerald, Mark, Chiu, Wing Kong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9504783/
https://www.ncbi.nlm.nih.gov/pubmed/36146079
http://dx.doi.org/10.3390/s22186727
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author Lu, Shouxun
Vien, Benjamin Steven
Russ, Matthias
Fitzgerald, Mark
Chiu, Wing Kong
author_facet Lu, Shouxun
Vien, Benjamin Steven
Russ, Matthias
Fitzgerald, Mark
Chiu, Wing Kong
author_sort Lu, Shouxun
collection PubMed
description Osseointegration implant has attracted significant attention as an alternative treatment for transfemoral amputees. It has been shown to improve patients’ sitting and walking comfort and control of the artificial limb, compared to the conventional socket device. However, the patients treated with osseointegration implants require a long rehabilitation period to establish sufficient femur–implant connection, allowing the full body weight on the prosthesis stem. Hence, a robust assessment method on the osseointegration process is essential to shorten the rehabilitation period and identify the degree of osseointegration prior to the connection of an artificial limb. This paper investigates the capability of a vibration-related index (E-index) on detecting the degree of simulated osseointegration process with three lengths of the residual femur (152, 190 and 228 mm). The adhesive epoxy with a setting time of 5 min was applied at the femur–implant interface to represent the stiffness change during the osseointegration process. The cross-spectrum and colormap of the normalised magnitude demonstrated significant changes during the cure time, showing that application of these plots could improve the accuracy of the currently available diagnostic techniques. Furthermore, the E-index exhibited a clear trend with a noticeable average increase of 53% against the cure time for all three residual length conditions. These findings highlight that the E-index can be employed as a quantitative justification to assess the degree of osseointegration process without selecting and tracing the resonant frequency based on the geometry of the residual femur.
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spelling pubmed-95047832022-09-24 Monitoring Osseointegration Process Using Vibration Analysis Lu, Shouxun Vien, Benjamin Steven Russ, Matthias Fitzgerald, Mark Chiu, Wing Kong Sensors (Basel) Article Osseointegration implant has attracted significant attention as an alternative treatment for transfemoral amputees. It has been shown to improve patients’ sitting and walking comfort and control of the artificial limb, compared to the conventional socket device. However, the patients treated with osseointegration implants require a long rehabilitation period to establish sufficient femur–implant connection, allowing the full body weight on the prosthesis stem. Hence, a robust assessment method on the osseointegration process is essential to shorten the rehabilitation period and identify the degree of osseointegration prior to the connection of an artificial limb. This paper investigates the capability of a vibration-related index (E-index) on detecting the degree of simulated osseointegration process with three lengths of the residual femur (152, 190 and 228 mm). The adhesive epoxy with a setting time of 5 min was applied at the femur–implant interface to represent the stiffness change during the osseointegration process. The cross-spectrum and colormap of the normalised magnitude demonstrated significant changes during the cure time, showing that application of these plots could improve the accuracy of the currently available diagnostic techniques. Furthermore, the E-index exhibited a clear trend with a noticeable average increase of 53% against the cure time for all three residual length conditions. These findings highlight that the E-index can be employed as a quantitative justification to assess the degree of osseointegration process without selecting and tracing the resonant frequency based on the geometry of the residual femur. MDPI 2022-09-06 /pmc/articles/PMC9504783/ /pubmed/36146079 http://dx.doi.org/10.3390/s22186727 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Lu, Shouxun
Vien, Benjamin Steven
Russ, Matthias
Fitzgerald, Mark
Chiu, Wing Kong
Monitoring Osseointegration Process Using Vibration Analysis
title Monitoring Osseointegration Process Using Vibration Analysis
title_full Monitoring Osseointegration Process Using Vibration Analysis
title_fullStr Monitoring Osseointegration Process Using Vibration Analysis
title_full_unstemmed Monitoring Osseointegration Process Using Vibration Analysis
title_short Monitoring Osseointegration Process Using Vibration Analysis
title_sort monitoring osseointegration process using vibration analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9504783/
https://www.ncbi.nlm.nih.gov/pubmed/36146079
http://dx.doi.org/10.3390/s22186727
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