Subject-specific knee models, data, and results for specimen S192803

This dataset is part of an ongoing manuscript to validate that sources of data from currently available in vivo methods are sufficient to create computational models of the knee compared with existing in vitro techniques. The data included in this repository is for the S192803 specimen of that dataset and includes experimental data, working models, code, and results obtained for that model and used in that manuscript., The data was collected using a process described in the full paper, but combined fluoroscopic tracking of biplanar images, motion capture, 6DOF force and kinematics from a robotic joint tester, laxity measurements from a custom apparatus, CT, MRI and surface scan imaging data. The data was processed using a combination of DSX, MATLAB, ScanIP, Hypermesh, MeshLab, MeshMixer, Vicon Nexus, and Abaqus., , # Knee Model Data Validation for Specimen 192803 - Experimental Data, Models, Code, and Results

This dataset contains experimental data, models, code, and results for the S192803 specimen data. This dataset is one of two model datasets used in the paper Validation of Subject-Specific Knee Models from In Vivo Measurements, which is in review at the Journal of Biomechanical Engineering. The dataset contained herein is derived from the experimental data collected during a previous publication in the Journal of Medical Devices, entitled: \"Apparatus for In Vivo Knee Laxity Assessment Using High-Speed Stereo Radiography\". Available at: [https://doi.org/10.1115/1.4051834](https://doi.org/10.1115/1.4051834Another)

A similar dataset exists for the other specimen, S193761.

Work was created by Dr. Thor E. Andreassen, Dr. Donald R. Hume, Dr. Landon D. Hamilton, Stormy L. Hegg, Sean E. Higinbotham, and Dr. Kevin B. Shelburne at the Center for Orthopaedic Biomechanics at the University of Denver...