Hearing the unheard

Fundamentals of acoustic emission signals as predictors of total hip arthroplasty implant loosening

verfasst von: Magnus Reulbach, Longwei Cong, Bernd Arno Behrens, Eike Jakubowitz
Abstract: Implant loosening remains a primary cause of failure of total hip arthroplasty¹ (THA) and is often detected late, when pain occurs. Acoustic emission² (AE) analysis is a promising method for early loosening detection, on the supposition that relative movements at the bone–implant interface induce detectable AE signals. To distinguish loosening-induced AE signals from those of stable THA components in vitro investigations are necessary. Substituting human with animal bone for such testing could enable simplified and cost-effective sample preparation. The aim of this study was to investigate whether AE signals differ between bone tissues of different species. AE signals generated by relative movements between TiAl₆V₄ and human, bovine, and porcine cortical bone were investigated. Per species, 125 movements were analyzed, with 26 AE features identified for each movement. The most important time and frequency features of AE signals from human bone differed significantly from those of both animal species. Signals of human origin were longer and exhibited higher rise time. The main frequency components of human AE signals were in a lower frequency range, with a centroid frequency of 113.7 kHz. Based on these differences, it is not advisable to replace human cortical bone with animal bone for AE-related in vitro studies.
Organisationseinheit(en): Institut für Umformtechnik und Umformmaschinen
Externe Organisation(en): Medizinische Hochschule Hannover (MHH)
Typ: Artikel
Journal: Medical Engineering and Physics
Band: 134
Anzahl der Seiten: 9
ISSN: 1350-4533
Publikationsdatum: 12.2024
Publikationsstatus: Veröffentlicht
Peer-reviewed: Ja
ASJC Scopus Sachgebiete: Biophysik, Biomedizintechnik
Elektronische Version(en): https://doi.org/10.1016/j.medengphy.2024.104266 (Zugang: Offen)
: Details im Forschungsportal „Research@Leibniz University“

BibTeX

@article{2d24d1c1d36f456f826ca1815e278de0,
title = "Hearing the unheard: Fundamentals of acoustic emission signals as predictors of total hip arthroplasty implant loosening",
abstract = "Implant loosening remains a primary cause of failure of total hip arthroplasty1 (THA) and is often detected late, when pain occurs. Acoustic emission2 (AE) analysis is a promising method for early loosening detection, on the supposition that relative movements at the bone–implant interface induce detectable AE signals. To distinguish loosening-induced AE signals from those of stable THA components in vitro investigations are necessary. Substituting human with animal bone for such testing could enable simplified and cost-effective sample preparation. The aim of this study was to investigate whether AE signals differ between bone tissues of different species. AE signals generated by relative movements between TiAl6V4 and human, bovine, and porcine cortical bone were investigated. Per species, 125 movements were analyzed, with 26 AE features identified for each movement. The most important time and frequency features of AE signals from human bone differed significantly from those of both animal species. Signals of human origin were longer and exhibited higher rise time. The main frequency components of human AE signals were in a lower frequency range, with a centroid frequency of 113.7 kHz. Based on these differences, it is not advisable to replace human cortical bone with animal bone for AE-related in vitro studies.",
keywords = "Acoustic emission analysis, Bone–implant interface, Cortical bone, Implant loosening, Loosening detection, Total hip arthroplasty",
author = "Magnus Reulbach and Longwei Cong and Behrens, {Bernd Arno} and Eike Jakubowitz",
note = "Publisher Copyright: {\textcopyright} 2024 The Author(s)",
year = "2024",
month = dec,
doi = "10.1016/j.medengphy.2024.104266",
language = "English",
volume = "134",
journal = "Medical Engineering and Physics",
issn = "1350-4533",
publisher = "Elsevier BV",
}