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Proceedings Paper

Evaluation of electromechanical impedance based structural health monitoring for detection of loosening in total knee arthroplasty
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Paper Abstract

Total Knee Arthroplasty (TKA) continues to be a common and important orthopedic procedure for many in the United States. Despite recent medical advancements and increasing knowledge in the orthopedic community, it has been determined that 20% of TKA patients are still dissatisfied with their knee replacements. Causes of this failure include septic loosening and wear on the bearing component of the implant. Another cause of failure that has received specific attention from the mechanical community is aseptic loosening, which has been attributed to unbalanced ligaments or misalignment of the implant components. Previous efforts have been made to detect loosening by using passive force sensors such as piezoelectric transducers or strain gauges to detect misalignment. An alternative to this is to perform active sensing or structural health monitoring to evaluate possible loosening before it becomes a critical concern to the patient. One method of structural health monitoring, called the electromechanical impedance (EMI) method, is particularly attractive as it can use a single, compact piezoelectric transducer to determine the state of the host structure. This work is intended to evaluate the ability of the EMI method in sensing loosening between the cement and bone of a TKA tibial tray. This work will utilize real tibial trays implanted into synthetic bone (Sawbone) to evaluate the feasibility of detecting loosening using the EMI method. The intention of this work is to serve as a foundation for further in-vivo and intraoperative studies.

Paper Details

Date Published: 1 April 2019
PDF: 11 pages
Proc. SPIE 10972, Health Monitoring of Structural and Biological Systems XIII, 1097226 (1 April 2019); doi: 10.1117/12.2514053
Show Author Affiliations
Robert I. Ponder, Tennessee Technological Univ. (United States)
R. Michael Meneghini, Indiana Univ. (United States)
Steven R. Anton, Tennessee Technological Univ. (United States)


Published in SPIE Proceedings Vol. 10972:
Health Monitoring of Structural and Biological Systems XIII
Paul Fromme; Zhongqing Su, Editor(s)

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