Your browser doesn't support javascript.
loading
Total hip replacement monitoring: numerical models for the acoustic emission technique.
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.
Afiliação
  • Ampadi Ramachandran R; Department of Biomedical Engineering, University of Illinois Colleges of Engineering and Medicine, Chicago, IL, USA. rampad2@uic.edu.
  • Lee C; Department of Electronics, Cochin University of Science and Technology, Kochi, India. rampad2@uic.edu.
  • Zhang L; Department of Biomedical Engineering, University of Illinois Colleges of Engineering and Medicine, Chicago, IL, USA.
  • H SM; RMDR Lab, Department of Biomedical Sciences, University of Illinois College of Medicine, Rockford, IL, USA.
  • Bijukumar D; Department of Civil, Materials, and Environmental Engineering, University of Illinois, Chicago, IL, USA.
  • Pai PS; College of Civil Engineering and Architecture, Guilin University of Technology, Guilin, China.
  • Foucher K; Department of Electronics, Cochin University of Science and Technology, Kochi, India.
  • Chi SW; RMDR Lab, Department of Biomedical Sciences, University of Illinois College of Medicine, Rockford, IL, USA.
  • Ozevin D; Department of Mechanical Engineering, NMAM Institute of Technology, Nitte, Karnataka, India.
  • Mathew MT; Department of Kinesiology and Nutrition, University of Illinois, Chicago, IL, USA.
Med Biol Eng Comput ; 60(5): 1497-1510, 2022 May.
Article em En | MEDLINE | ID: mdl-35314956
ABSTRACT
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.
Assuntos
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Artroplastia de Quadril Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Med Biol Eng Comput Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Artroplastia de Quadril Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Med Biol Eng Comput Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos