Noncontact and noninvasive strain monitoring of osseointegrated prostheses

Sumit Gupta, Kenneth J. Loh

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

2 Scopus citations

Abstract

The objective of this study was to develop a noncontact and noninvasive technique for monitoring the strain-states of osseointegrated prostheses. Knowing the stress-or strain-state is important, especially for ensuring patients comply with rehabilitation exercises post-surgery or for detecting prosthesis failure. The proposed method utilizes electrical capacitance tomography (ECT) coupled with a strain-sensitive thin film deposited onto osseointegrated prostheses. Here, ECT employs a set of noncontact electrodes, which can be used to excite a sensing region using a time-varying electric field, while capacitance measurements are simultaneously obtained. An inverse tomography problem can be solved, using capacitance as inputs, to reconstruct the permittivity distribution of the interrogated region. Since the permittivity of metals alone (i.e., prosthesis) is insensitive to stress and strain, a carbon nanotube-based thin film, which can be deposited onto the prosthesis surface prior to implant, was designed such that its permittivity is sensitive to applied strains. In this work, the ECT algorithm was first implemented and validated. Second, the thin film was deposited onto prosthesis surrogates, and the film-coated prosthesis was subjected to uniaxial tensile tests. ECT was performed at different strain-states to map, without making contact, the change in permittivity of the film-coated prosthesis. The results showed that ECT could identify the rod and detect changes in permittivity in response to applied strains. In general, the proposed tomographic technique coupled with strain-sensitive thin films can serve as a new noninvasive imaging and noncontact strain sensing modality.

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
Pages2450-2457
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: Sep 12 2017Sep 14 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
Period09/12/1709/14/17

Funding

This research was supported by the Office of Naval Research under Contract No. N00014-17-1-2550. The authors thank Prof. Hyonny Kim for allowing access to his MTS-793 load frame, as well as Ph.D. students Mr. Konstantinos Anagno and Ms. Mimi Ngo for their assistance with load testing.

FundersFunder number
Office of Naval ResearchN00014-17-1-2550

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