Khokhlova, Liudmila, Komaris, Dimitrios-Sokratis, Davarinos, Nikolaos, Mahalingam, Karuppiah, O'Flynn, Brendan and Tedesco, Salvatore (2023). Non-invasive Assessment of Cartilage Damage of the Human Knee using Acoustic Emission Monitoring: a Pilot Cadaver Study. IEEE Transactions on Biomedical Engineering, 70 (9), pp. 2741-2751.
Abstract
Objective: Knee osteoarthritis is currently one of the top causes of disability in older population, a rate that will only increase in the future due to an aging population and the prevalence of obesity. However, objective assessment of treatment outcomes and remote evaluation are still in need of further development. Acoustic emission (AE) monitoring in knee diagnostics has been successfully adopted in the past; however, a wide discrepancy among the adopted AE techniques and analyses exists. This pilot study determined the most suitable metrics to differentiate progressive cartilage damage and the optimal frequency range and placement of AE sensors. Methods: Knee AEs were recorded in the 100-450 kHz and 15-200kH frequency ranges from a cadaver specimen in knee flexion/extension. Four stages of artificially inflicted cartilage damage and two sensor positions were investigated. Results: AE events in the lower frequency range and the following parameters provided better distinction between intact and damaged knee: hit amplitude, signal strength, and absolute energy. The medial condyle area of the knee was less prone to artefacts and unsystematic noise. Multiple reopenings of the knee compartment in the process of introducing the damage negatively affected the quality of the measurements. Conclusion: Results may improve AE recording techniques in future cadaveric and clinical studies. Significance: This was the first study to evaluate progressive cartilage damage using AEs in a cadaver specimen. The findings of this study encourage further investigation of joint AE monitoring techniques.
Publication DOI: | https://doi.org/10.1109/TBME.2023.3263388 |
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Divisions: | College of Engineering & Physical Sciences > School of Engineering and Technology > Mechanical, Biomedical & Design College of Engineering & Physical Sciences > School of Engineering and Technology College of Engineering & Physical Sciences > Engineering for Health |
Additional Information: | This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/ |
Uncontrolled Keywords: | Knee,Monitoring,Recording,Sensor phenomena and characterization,Sensors,Sociology,Statistics,acoustic emission,joint sound,knee health,osteoarthritis,thinning of the articular cartilage,Biomedical Engineering |
Publication ISSN: | 1558-2531 |
Last Modified: | 16 Dec 2024 08:51 |
Date Deposited: | 20 Sep 2023 09:58 |
Full Text Link: | |
Related URLs: |
https://ieeexpl ... cument/10089156
(Publisher URL) http://www.scop ... tnerID=8YFLogxK (Scopus URL) |
PURE Output Type: | Article |
Published Date: | 2023-09-01 |
Published Online Date: | 2023-03-30 |
Accepted Date: | 2023-03-25 |
Authors: |
Khokhlova, Liudmila
Komaris, Dimitrios-Sokratis ( 0000-0003-4623-9060) Davarinos, Nikolaos Mahalingam, Karuppiah O'Flynn, Brendan Tedesco, Salvatore |