Total hip replacement monitoring: numerical models for the acoustic emission technique

• Published in: Medical & biological engineering & computing 2022-05, Vol.60 (5), p.1497-1510
• Main Authors: Ampadi Ramachandran, Remya, Lee, Christine, Zhang, Lu, H, Supriya M., Bijukumar, Divya, Pai, P. Srinivasa, Foucher, Kharma, Chi, Sheng-Wei, Ozevin, Didem, Mathew, Mathew T.
• Format: Article
• Language: English
• Subjects: Acoustic emission; Acoustics; Adipose tissue; Arthroplasty, Replacement, Hip - methods; Bioengineering; Biomedical and Life Sciences; Biomedical Engineering and Bioengineering; Biomedical materials; Biomedicine; Boundary conditions; Civil engineering; Computer Applications; Elastic waves; Hip; Human Physiology; Humans; Imaging; Mathematical models; Monitoring; Muscles; Numerical models; Original Article; Orthopaedic implants; Propagation; Prostheses; Prostheses and Implants; Radiology; Reliability aspects; Reproducibility of Results; Sensors; Skin; Sound waves; Stress analysis; Thickness; Total hip arthroplasty; Transplants & implants; Wave attenuation; Wave propagation
• ISSN: 0140-0118; 1741-0444
• DOI: 10.1007/s11517-022-02548-6

Any mechanical instability associated with total hip replacement (THR) excites elastic waves with different frequencies and propagates through the surrounding biological layers. Using the acoustic emission (AE) technique as a THR monitoring tool provides valuable information on structural degradations associated with these implants. However, several factors can compromise the reliability of the signals detected by AE sensors, such as attenuation of the detected signal due to the presence of biological layers in the human body between prosthesis (THR) and AE sensor. The main objective of this study is to develop a numerical model of THR that evaluates the impact of biological layer thicknesses on AE signal propagation. Adipose tissue thickness, which varies the most between patients, was modeled at two different thicknesses 40 mm and 70 mm, while the muscle and skin thicknesses were kept to a constant value. The proposed models were tested at different micromotions of 2 µm, 15–20 µm at modular junctions, and different frequencies of 10–60 kHz. Attenuation of signal is observed to be more with an increase in the selected boundary conditions along with an increase in distance the signals propagate through. Thereby, the numerical observations drawn on each interface helped to simulate the effect of tissue thicknesses and their impact on the attenuation of elastic wave propagation to the AE receiver sensor. Graphical abstract