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Published on in Vol 7 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/58261, first published .
Seniors jogging with highlighted knees and downward arrows indicating joint support

Functional Monitoring of Patients With Knee Osteoarthritis Based on Multidimensional Wearable Plantar Pressure Features: Cross-Sectional Study

Functional Monitoring of Patients With Knee Osteoarthritis Based on Multidimensional Wearable Plantar Pressure Features: Cross-Sectional Study

Journals

  1. Al Zo’ubi M. Review of 2024 publications on the applications of artificial intelligence in rheumatology. Clinical Rheumatology 2025;44(4):1427 View
  2. Minea M, Ismail S, Petcu L, Nedelcu A, Petcu A, Minea A, Iliescu M. Using Computerised Gait Analysis to Assess Changes After Rehabilitation in Knee Osteoarthritis: A Systematic Review and Meta-Analysis of Gait Speed Improvement. Medicina 2025;61(9):1540 View
  3. Li H, Chen P, Cheng W, Zhang Z, Yang J, Zhang H, Jin F, Kan L, Chen L, Wang H. Programmed cell death in osteoarthritis. Apoptosis 2026;31(1) View
  4. Benachour Y, Flitti F, Maloukh L, Far A, Boutellaa E, Bentoumi M, Rai M, Aburaed N, Ali K, Rehman M, Mosleh S, Dghaim R, Bouamama S. Machine Learning for Wearable Sensor-Based Human Movement Rehabilitation: A Five-Year Systematic Review. IEEE Access 2026;14:99280 View
  5. Yang J, Dong C, Zhang X, Tang S, Sun H. Clinical Translation of Artificial Intelligence-Driven Gait Analysis Using Plantar Pressure and Ground Reaction Force. Bioengineering 2026;13(7):796 View
  6. Guo H, Liu B, Gao Z, Cheng Z, Zheng M, Liang J, Sun C, Luo J, Mao Y, Zhu H. TENG-based self-powered knee joint motion decoding and AI-assisted evaluation system. Nano Energy 2026;157:112200 View