Hearing the unheard: Fundamentals of acoustic emission signals as predictors of total hip arthroplasty implant loosening

Implant loosening remains a primary cause of failure of total hip arthroplasty<sup>1</sup> (THA) and is often detected late, when pain occurs. Acoustic emission<sup>2</sup> (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 TiAl<sub>6</sub>V<sub>4</sub> 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.

Authors

Institutions

Publication Details

Journal
Medical Engineering & Physics
Published
2024-11-26
DOI
https://doi.org/10.1016/j.medengphy.2024.104266
Citations
2
Primary Topic
Orthopaedic implants and arthroplasty
Type
article
Field-Weighted Citation Impact
1.15

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Hearing the unheard: Fundamentals of acoustic emission signals as predictors of total hip arthroplasty implant loosening

Lili Cong, Bernd‐Arno Behrens, Eike Jakubowitz, Magnus Reulbach
2 citations
Medical Engineering & Physics
Orthopaedic implants and arthroplasty
1.15
article

Hearing the unheard: Fundamentals of acoustic emission signals as predictors of total hip arthroplasty implant loosening

Lili Cong, Bernd‐Arno Behrens, Eike Jakubowitz, Magnus Reulbach
article en
2 citations

Abstract

Implant loosening remains a primary cause of failure of total hip arthroplasty<sup>1</sup> (THA) and is often detected late, when pain occurs. Acoustic emission<sup>2</sup> (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 TiAl<sub>6</sub>V<sub>4</sub> 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.

Medical Engineering & PhysicsVol. 134(1)
Leibniz University Hannover (DE), Medizinische Hochschule Hannover (DE)
Deutsche Forschungsgemeinschaft
Openalex Percentile: Top 19%
Orthopaedic implants and arthroplasty
1.15
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.