A RISK-BASED OPTIMIZATION APPROACH TOWARDS PERCUTANEOUS SMART OSSEOINTEGRATED IMPLANTS (POIS)
Abstract
SW-1603 - Monitoring Osseo Integrated Prostheses (MOIP) - A RISK-BASED OPTIMIZATION APPROACH TOWARDS PERCUTANEOUS SMART-OSSEO INTEGRATED IMPLANTS (POIS)An approach for applying structural health monitoring (SHM) methods to achieve percutaneous,osseointegrated implant (POI) monitoring is proposed. A prototype POI surrogate will be designed, modeled in finite-element (FE) software and constructed. The data generated by the FE model will be used to meet two different goals: infer external load from strain and deviseoptimal strain interrogation techniques. Both of these tasks will leverage techniques from statistical pattern recognition and numerical optimization. The machined POI device will be used to validate the FE model and serve as a test bed for resulting algorithms. This work isfoundational to the future goal of using SHM methods to produce a ~smart~ implant that would provide status information to patients and medical personnel, regarding overloading of the device, loosening of the device or other undesirable circumstances. In this manner, the ~smart~ implant could help to provide an early warning of the need for medical intervention and increase the probability of an improved, medical outcome.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Sep 23, 2016
- Source ID
- N000141612692
Entities
People
- Joseph Reed
Organizations
- Elintrix (United States)
- Office of Naval Research
- United States Navy