Prediction of Patient-reported Outcome Measure and Performance-based Measure After Total Knee Arthroplasty Using Instrumented Insoles and Deep Neural Networks
This multicenter prospective observational study aims to evaluate whether preoperative clinical variables and wearable sensor-derived gait features can predict postoperative improvement after total knee arthroplasty (TKA). Participants will undergo standardized gait assessments using instrumented insoles and complete validated patient-reported outcome measures (PROMs). Prediction models including linear regression, random forest, and deep neural networks will be applied and their performance compared.
• Age ≥ 19 years
• Diagnosed with knee osteoarthritis (Kellgren-Lawrence grade 1-4)
• Scheduled for primary Total Knee Arthroplasty (TKA) at either study site
• Able to walk independently on level ground (Functional Ambulation Categories, FAC ≥ 3)