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Medical Devices for the Elderly (61) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (2423) Portable and Mobile Technologies for Rehabilitation (290) Physical Activity for Older People (494) Usability and Technology Use Studies with Elder Subjects (521) Aging in Place (526) Aging with Chronic Disease (546)

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

Authors of this article:

Junan Xie1 Author Orcid Image ;   Shilin Li2 Author Orcid Image ;   Zhen Song3 Author Orcid Image ;   Lin Shu4, 5 Author Orcid Image ;   Qing Zeng6, 7 Author Orcid Image ;   Guozhi Huang6, 7 Author Orcid Image ;   Yihuan Lin8 Author Orcid Image
Article Authors Cited by (11) Tweetations Metrics

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
  7. Li S, Yao H, Huang Y, Xu Z, Qin K, Liu L, Zhang J, Zeng Q, Shu L. Fall risk assessment via multi-batch plantar pressure data fusion: an ensemble framework integrating global and local features. Frontiers in Bioengineering and Biotechnology 2026;14 View
  8. Farivar M, Soltanizadeh H, Yousefinia G, Zahrayee M, Sana S. Measurement of plantar-pressure in clinical and analytical applications: a systematic review. Human-Intelligent Systems Integration 2026 View
  9. Xin G, Yao H, Qiao J, Yao H, Li S, Liu L, Zhang J, Qin K, Shu L. Radiographic Knee Osteoarthritis Identification Using Wearable Plantar Pressure: Secondary Cross-Sectional Analysis of Interpretable Framework Integrating Biomechanical Descriptors and the Multiscale Synergy Index. JMIR mHealth and uHealth 2026;14:e101026 View
  10. Cheng X, Gao X, Liang W, Meiring R, Zhang Y. Application of Deep Learning-Based Markerless Pose Estimation in a 3D Exergame System for Knee Osteoarthritis Exercise Management: Development and Preliminary Evaluation. Sensors 2026;26(18):5857 View
  11. Zhang B, Yu X, Zhang Z, Zhou X, Zhao W, Zhao C. Artificial intelligence in the biomechanics of knee osteoarthritis: biomechanical phenotyping, risk stratification, diagnosis, treatment and clinical translation—a narrative review. Frontiers in Bioengineering and Biotechnology 2026;14 View