Noncontact Tomographic Condition Monitoring of Osseointegrated Prosthesis
Abstract
Noncontact Tomographic Condition Monitoring of Osseointegrated ProsthesisThe loss of a limb is one of the major reasons for disabi"lity, but advances in prosthetic devices have improved the quality of life of amputees. Despite the numerous benefits offered by oss""eointegrated prostheses, complications can arise during treatment and recovery. Therefore, the long-term vision of this research is"" to monitor in vitro the integration, performance, and condition of osseointegrated prostheses (and surrounding soft tissue) so as t""o maximize treatment success, ensure patient compliance, and minimize recovery/rehabilitation times. As a step towards this long-ter""m goal, the objective of this ONR project is to advance the scientific principles and applications of electrical capacitance tomogra""phy (ECT) for rapid, noncontact, and noninvasive condition monitoring of transfemoral osseointegrated prostheses. Here, ECT and mult"ifunctional nanocomposites integrated at human-prosthesis interfaces will be used for resolving highresolution cross-sectional electrical maps of the human-prosthesis system to: (1) quantifyprosthesis stress states; (2) identify fixture loosening; and (3) monitor" subcutaneous infection. In short, an electrical field is propagated between electrodes arranged in a circular ring (which defines t""he sensing domain). Perturbations to the field (e.g., due to changes in the features of the humanprosthesis system, such as loosenin""g, load states, and infection) affect the electrical response measured at the boundary electrodes. Sets of input-output electrical e"xcitations-responses can thenbe used to reconstruct an electrical image of the sensing area. Four research tasks will be conducted; the scope includes: (1) implementing a multi-frequency ECT algorithm and hardware; (2) designing multifunctional nanocomposites that enhance response quantities of interest; (3) characterizing the system for monitoring prosthesis loosening and stress/strain states; and (4)investigating the potential for infection monitoring by sensing pH.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- May 05, 2017
- Source ID
- N000141712550
Entities
People
- Kenneth J. Loh
Organizations
- Office of Naval Research
- United States Navy
- University of California, San Diego