The thesis presents the culmination of the smart hip implant project, which signifies a significant stride in orthopedic technology. By integrating piezoelectric and triboelectric systems into conventional implants, this study demonstrates the feasibility and effectiveness of creating intelligent implants. Through a meticulous design process and rigorous testing, novel configurations were developed to optimize energy harvesting efficiency and enable precise detection of mechanical loads experienced during various physical activities. The application of Finite Element Analysis provided critical insights into the localization of contact points, informing the strategic placement of harvesters within the implant for enhanced performance. Utilizing a cam follower and motor allowed for the realistic simulation of daily movements, validating the implants’ ability to detect loads and generate proportional electrical signals. Furthermore, the successful implementation of wireless data transmission highlights the potential for remote monitoring and personalized patient care. Overall, the findings of this thesis represent a significant advancement in orthopedic treatment modalities, promising improved patient outcomes and a higher quality of life for individuals with hip implants.

Date of publication

Spring 4-9-2024

Document Type




Persistent identifier


Committee members

Dr. Nelson Fumo, Dr. Chung Goh


Master in Mechanical Engineering

Available for download on Tuesday, May 26, 2026