Skip to main navigation Skip to search Skip to main content

Guided wave analysis of osseointegration at bone-prosthesis interfaces

  • University of Michigan, Ann Arbor

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Advances in medicine have led to the development of prostheses that can be integrated directly to the host bone of residual limbs. Osseointegration of the prosthesis comes with many benefits including its use in patients with short residual limbs. There are also a number of challenges associated with their use including high rates of tissue infection, bone fracture, and uncertainty in determining when the limb can be loaded after surgery. This paper explores a practical sensing approach to monitor the healing process of osseointegrated prostheses using instrumentation attached to the percutaneous tip of the prosthesis. Specifically, guided wave methods are used to characterize the degree of bone growth and bone integration at the prosthesis interface. Prosthetic models consisting of titanium femoral stems implanted in artificial synthetic bones are employed to simulate the bone-prosthesis interface. Piezoelectric transducers are mounted to the percutaneous end of the prosthesis to introduce controlled body waves. The prosthesis acts as a wave guide allowing the guided waves to interrogate the bone-prosthesis interface inside the limb. Due to the constraints imposed by the prosthesis boundary conditions, three guided wave types are introduced including longitudinal, torsional and flexural waves. Tone burst signals were applied to a piezoelectric lead zirconate titanate (PZT) actuator array mounted to the rod to generate longitudinal waves in the prosthesis. Waves reflected in the prosthesis are received by the PZT array and analyzed to correlate changes in wave properties with implantation depth. Both numerical simulation and experimental testing are conducted to validate the use of reflected wave energy as a wave feature sensitive to penetration depth.

Original languageEnglish
Title of host publicationStructural Health Monitoring 2017
Subtitle of host publicationReal-Time Material State Awareness and Data-Driven Safety Assurance - Proceedings of the 11th International Workshop on Structural Health Monitoring, IWSHM 2017
EditorsFu-Kuo Chang, Fotis Kopsaftopoulos
PublisherDEStech Publications
Pages2434-2441
Number of pages8
ISBN (Electronic)9781605953304
DOIs
StatePublished - 2017
Externally publishedYes
Event11th International Workshop on Structural Health Monitoring 2017: Real-Time Material State Awareness and Data-Driven Safety Assurance, IWSHM 2017 - Stanford, United States
Duration: 12 Sep 201714 Sep 2017

Publication series

NameStructural Health Monitoring 2017: Real-Time Material State Awareness and Data-Driven Safety Assurance - Proceedings of the 11th International Workshop on Structural Health Monitoring, IWSHM 2017
Volume2

Conference

Conference11th International Workshop on Structural Health Monitoring 2017: Real-Time Material State Awareness and Data-Driven Safety Assurance, IWSHM 2017
Country/TerritoryUnited States
CityStanford
Period12/09/1714/09/17

Fingerprint

Dive into the research topics of 'Guided wave analysis of osseointegration at bone-prosthesis interfaces'. Together they form a unique fingerprint.

Cite this