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A Sensorized 3D-Printed Knee Test Rig for Preliminary Experimental Validation of Patellar Tracking and Contact
Florian Michaud1, Francisco Mouzo1, Daniel Dopico1
1Laboratory of Mechanical Engineering, Centro de Investigación en Tecnologías Navales e Industriales (CITENI), Campus Industrial de Ferrol, University of La Coruña, 15403 Ferrol, Spain.
Sensors (Basel, Switzerland)
|May 25, 2024
Summary
Experimental validation using 3D-printed models and sensors confirmed the accuracy of computational simulations for total knee replacement surgery. This cost-effective method enhances confidence in predictive modeling for orthopedic applications.
Area of Science:
- Biomechanics
- Orthopedic Surgery
- Computational Modeling
Background:
- Experimental validation is crucial for verifying computational simulations in musculoskeletal modeling.
- Musculoskeletal models aid in predicting postoperative function and optimizing patient outcomes in orthopedic surgery.
- Limited in vivo data and ethical constraints hinder the validation of orthopedic simulations.
Purpose of the Study:
- To develop a cost-effective and ethical method for validating computational simulations of total knee replacement.
- To assess the accuracy of multibody dynamics simulations against experimental data.
Main Methods:
- A commercial surgical training station was modified into a sensorized test bench.
- Personalized 3D-printed bones with implants replaced original components.
- Multiple sensors recorded patellar movement, pressure, and forces for validation.
Main Results:
- The study successfully created a sensorized test bench for experimental validation.
- Computational simulation results were validated against experimental data from the test bench.
- 3D-printed models and sensor integration enabled accurate data collection.
Conclusions:
- This approach provides a cost-effective and replicable method for validating orthopedic surgical simulations.
- The validated simulations can increase confidence in predictive modeling for total knee replacement.
- The methodology circumvents ethical concerns associated with in vivo testing.
