Passive Embedded Sensor for Detecting Bone Integration in Orthopedic Implants
| dc.contributor.advisor | Ong, Keat | |
| dc.contributor.author | Patel, Tulsi | |
| dc.date.accessioned | 2024-08-30T19:27:22Z | |
| dc.date.available | 2024-08-30T19:27:22Z | |
| dc.date.issued | 2024 | |
| dc.description | 21 pages | |
| dc.description.abstract | The rate of orthopedic implant failures has increased in the last few decades, raising medical costs for treatment and rehabilitation of these failures from $320 million to $566 million in less than a decade. The clinical outcomes of orthopedic implants have improved with the rapid advancement in new materials and surface modifications for implants that enhance bone integration with implant, thus increasing stability while reducing the rate of implant failure. However, determining and monitoring this bone-implant integration quantitatively has been a challenge as the current method of micro-CT scans are slow, tedious, and provide little insight. This project's goal is to design a tool that can track bone-implant integration after spinal fusion surgery (surgery in which an implant is inserted between two vertebral discs to promote the fusion of those two discs, often after traumatic injury in that area), which can be vital for personalized and timely patient care to reduce revision surgeries and improve rehabilitation. The wireless and passive sensor is meant to be incorporated into a porous PEEK surface, a common material used in orthopedic implants, to detect bone growth in the extremity of implants such as spinal cages. The sensor was based on an inductive-capacitive resonance circuit that can be remotely interrogated with an external device to monitor localized bone growth and mineralization. Preliminary results using modified simulated body fluid (a solution that can mimic bone formation/mineralization) have shown significant decreases in the resonance frequency (an inherent frequency emitted by the sensor) as bone mineralization increases. Further aspects of this study will continue to analyze the effects of other parameters, such as temperature, bone density, and cell growth. | en_US |
| dc.identifier.orcid | 0009-0000-9677-5772 | |
| dc.identifier.uri | https://hdl.handle.net/1794/29991 | |
| dc.language.iso | en_US | |
| dc.publisher | University of Oregon | |
| dc.rights | CC BY-NC-ND 4.0 | |
| dc.subject | Sensor | en_US |
| dc.subject | Bioengineering | en_US |
| dc.subject | Human Physiology | en_US |
| dc.subject | Orthopedic | en_US |
| dc.subject | Osseointegration | en_US |
| dc.title | Passive Embedded Sensor for Detecting Bone Integration in Orthopedic Implants | |
| dc.type | Thesis/Dissertation |