This paper is in the following e-collection/theme issue:

Reviews on Innovation in Rehabilitation and Assistive Technologies (65) Emerging Technologies for Rehabilitation (348) Wearable Devices and Sensors (1133) mHealth for Wellness, Behavior Change and Prevention (3315)

Published on in Vol 9, No 2 (2022): Apr-Jun

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/33521, first published .
Inertial Measurement Units and Application for Remote Health Care in Hip and Knee Osteoarthritis: Narrative Review

Inertial Measurement Units and Application for Remote Health Care in Hip and Knee Osteoarthritis: Narrative Review

Inertial Measurement Units and Application for Remote Health Care in Hip and Knee Osteoarthritis: Narrative Review

Authors of this article:

Michael J. Rose1 Author Orcid Image ;   Kerry E Costello1, 2 Author Orcid Image ;   Samantha Eigenbrot1 Author Orcid Image ;   Kaveh Torabian1 Author Orcid Image ;   Deepak Kumar1, 2 Author Orcid Image
Article Authors Cited by (13) Tweetations (11) Metrics

Journals

  1. Ghaffari A, Rasmussen J, Kold S, Lauritsen R, Kappel A, Rahbek O. Accelerations Recorded by Simple Inertial Measurement Units with Low Sampling Frequency Can Differentiate between Individuals with and without Knee Osteoarthritis: Implications for Remote Health Care. Sensors 2023;23(5):2734 View
  2. Chang M, Wu Y, Niu H, Chen Y, Juang S. Cross-Platform Gait Analysis and Fall Detection Wearable Device. Applied Sciences 2023;13(5):3299 View
  3. Tan T, Gatti A, Fan B, Shea K, Sherman S, Uhlrich S, Hicks J, Delp S, Shull P, Chaudhari A. A scoping review of portable sensing for out-of-lab anterior cruciate ligament injury prevention and rehabilitation. npj Digital Medicine 2023;6(1) View
  4. Bocos-Corredor E, Pérez-Fernández T, Perez-Dominguez R, Liébana S, Armijo-Olivo S, Raya R, Martin-Pintado-Zugasti A. Potential Use of Wearable Inertial Sensors to Assess and Train Deep Cervical Flexors: A Feasibility Study with Real Time Synchronization of Kinematic and Pressure Data during the Craniocervical Flexion Test. Sensors 2023;23(8):3911 View
  5. Ruder M, Masood Z, Kobsar D. Reliability of waveforms and gait metrics from multiple outdoor wearable inertial sensors collections in adults with knee osteoarthritis. Journal of Biomechanics 2023;160:111818 View
  6. Marks R. Artificial Intelligence and Its Potential Application in Advancing Hip Osteoarthritis Care. Journal of Orthopaedic Science and Research 2023:1 View
  7. Merolli M, Francis J, Vallance P, Bennell K, Malliaras P, Hinman R. Evaluation of Patient-Facing Mobile Apps to Support Physiotherapy Care: Systematic Review. JMIR mHealth and uHealth 2024;12:e55003 View
  8. Bacon K, Felson D, Jafarzadeh S, Kolachalama V, Hausdorff J, Gazit E, Stefanik J, Corrigan P, Segal N, Lewis C, Nevitt M, Kumar D. Gait Alterations and Association With Worsening Knee Pain and Physical Function: A Machine Learning Approach With Wearable Sensors in the Multicenter Osteoarthritis Study. Arthritis Care & Research 2024;76(7):984 View
  9. Merolli M, Vallance P, McCreesh K, O’Sullivan C, Ahmed O, Kerry R, Butler-Henderson K, Gray K. Entrustable professional activities for physiotherapists to demonstrate digital health competency: an international delphi study. Physiotherapy Theory and Practice 2025;41(10):2075 View
  10. Gupta U, Kai J, Mohamadou Y, Ramzeen A, Seth A, Guo R, Agrawal A, Soon B, Tan A. -Validation and reliability of knee kinematics and gait analysis using flexible wearable sensors. Health and Technology 2025;15(4):733 View
  11. Jalalvand A. The Effect of Backward Gait Training Protocol on Postural Sway and Balance in Elderly Men with a History of Fall. Journal of Arak University of Medical Sciences 2025;28(2):85 View
  12. Jarungvittayakon C, Sa-ngasoongsong P, Chockchaisakul D, Bamrungchaowkasem J, Wongsak S. Effectiveness of Mobile Exergaming with Sensor-Based Visual Feedback as an Adjunct Therapy for Home-Based Quadriceps Exercise Training in Knee Osteoarthritis: A Prospective Randomized Controlled Trial. Life 2025;15(11):1738 View
  13. Wu G, Chen S, Li Q, Zhang M, Cao F, Wei J, Guo L, Li P, Wei X, Zhang Q. Mechanical cues enhance chondrocyte function: Insights from mechanoreception, regulation, and biological responses. Mechanobiology in Medicine 2025;3(4):100164 View