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Prediction of Postoperative Outcomes After TKA Using Instrumented Insoles and DNN

NCT07367789 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 200

Last updated 2026-01-26

No results posted yet for this study

Summary

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.

Conditions

Interventions

OTHER

Instrumented Insole Gait Assessment

Participants undergo gait assessment using an instrumented insole system during the Timed Up and Go Test. The device is used solely for data collection and does not provide therapeutic intervention.

Sponsors & Collaborators

  • Yonsei University

    lead OTHER

Principal Investigators

  • Na Young Kim, MD, PhD · Severance Hospital

Eligibility

Min Age
19 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2021-06-01
Primary Completion
2026-12-31
Completion
2026-12-31

Countries

  • South Korea

Study Locations

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Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07367789 on ClinicalTrials.gov