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

Wearable Devices and Sensors (1133) mHealth for Data Collection and Research (1196) mHealth for Rehabilitation (352) Cognitive and Neurorehabilitation (349) Emerging Technologies for Rehabilitation (348) Stroke (243)

Published on in Vol 8, No 9 (2020): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/22208, first published .
Clinometric Gait Analysis Using Smart Insoles in Patients With Hemiplegia After Stroke: Pilot Study

Clinometric Gait Analysis Using Smart Insoles in Patients With Hemiplegia After Stroke: Pilot Study

Clinometric Gait Analysis Using Smart Insoles in Patients With Hemiplegia After Stroke: Pilot Study

Authors of this article:

Minseok Seo1 Author Orcid Image ;   Myung-Jun Shin2 Author Orcid Image ;   Tae Sung Park3 Author Orcid Image ;   Jong-Hwan Park3 Author Orcid Image
Article Authors Cited by (26) Tweetations (1) Metrics

Journals

  1. Peters D, O’Brien E, Kamrud K, Roberts S, Rooney T, Thibodeau K, Balakrishnan S, Gell N, Mohapatra S. Utilization of wearable technology to assess gait and mobility post-stroke: a systematic review. Journal of NeuroEngineering and Rehabilitation 2021;18(1) View
  2. Piau A, Steinmeyer Z, Charlon Y, Courbet L, Rialle V, Lepage B, Campo E, Nourhashemi F. A Smart Shoe Insole to Monitor Frail Older Adults’ Walking Speed: Results of Two Evaluation Phases Completed in a Living Lab and Through a 12-Week Pilot Study. JMIR mHealth and uHealth 2021;9(7):e15641 View
  3. He Y, Lin M, Wang X, Liu K, Liu H, He T, Zhou P. Textile-film sensors for a comfortable intelligent pressure-sensing insole. Measurement 2021;184:109943 View
  4. Guzik A, Wolan-Nieroda A, Drużbicki M. Assessment of Agreement Between a New Application to Compute the Wisconsin Gait Score and 3-Dimensional Gait Analysis, and Reliability of the Application in Stroke Patients. Frontiers in Human Neuroscience 2022;16 View
  5. Yi J, Lee J, Seo D. Evaluation of Ergonomic Performance of Medical Smart Insoles. Physical Therapy Rehabilitation Science 2022;11(2):215 View
  6. Christopoulou S. Impacts on Context Aware Systems in Evidence-Based Health Informatics: A Review. Healthcare 2022;10(4):685 View
  7. Kim J, Jung S, Song C. The Effects of Auditory Feedback Gait Training Using Smart Insole on Stroke Patients. Brain Sciences 2021;11(11):1377 View
  8. Park J, Kim C. Ground-Reaction-Force-Based Gait Analysis and Its Application to Gait Disorder Assessment: New Indices for Quantifying Walking Behavior. Sensors 2022;22(19):7558 View
  9. Seo T, Lee J, Lee B. The reliability test of a smart insole for gait analysis in stroke patients. The Journal of Korean Academy of Physical Therapy Science 2022;29(1):30 View
  10. Sun X, Ding J, Dong Y, Ma X, Wang R, Jin K, Zhang H, Zhang Y. A Survey of Technologies Facilitating Home and Community-Based Stroke Rehabilitation. International Journal of Human–Computer Interaction 2023;39(5):1016 View
  11. Pan Z, Gao H, Chen Y, Xie Z, Xie L. Evaluation of Hemiplegic Gait Based on Plantar Pressure and Inertial Sensors. IEEE Sensors Journal 2023;23(11):12008 View
  12. Chen J, Teng C, Kuang R, Wang Z, Yao Y, Ortega B, Marques C, Li X, Min R. Plastic Optical Fiber Integrated With Smartphone for Gait Monitoring. IEEE Sensors Journal 2023;23(16):18207 View
  13. Biswas N, Chakrabarti S, Jones L, Ashili S. Smart wearables addressing gait disorders: A review. Materials Today Communications 2023;35:106250 View
  14. Neumann S, Bauer C, Nastasi L, Läderach J, Thürlimann E, Schwarz A, Held J, Easthope C. Accuracy, concurrent validity, and test–retest reliability of pressure-based insoles for gait measurement in chronic stroke patients. Frontiers in Digital Health 2024;6 View
  15. Huang J, Wang H, Wu Q, Yin J, Zhou H, He Y. Clinical research on neurological and psychiatric diagnosis and monitoring using wearable devices: A literature review. Interdisciplinary Medicine 2024;2(4) View
  16. Rukmini P, Hegde R, Basavarajappa B, Bhat A, Pujari A, Gargiulo G, Gunawardana U, Jan T, Naik G. Recent Innovations in Footwear and the Role of Smart Footwear in Healthcare—A Survey. Sensors 2024;24(13):4301 View
  17. Pereira A, Machado Neto O, Elui V, Pimentel M. Wearable Smartphone-Based Multisensory Feedback System for Torso Posture Correction: Iterative Design and Within-Subjects Study. JMIR Aging 2025;8:e55455 View
  18. Ozhan S, Duruturk N. Investigating the relationship of trunk and postural control with pulmonary functions in subacute stroke patients. Neurological Sciences 2025;46(1):267 View
  19. Park J, Kim C. Continuous Gait Phase Estimation for Multi-Locomotion Tasks Using Ground Reaction Force Data. Sensors 2024;24(19):6318 View
  20. Wang Q, Guan H, Wang C, Lei P, Sheng H, Bi H, Hu J, Guo C, Mao Y, Yuan J, Shao M, Jin Z, Li J, Lan W. A wireless, self-powered smart insole for gait monitoring and recognition via nonlinear synergistic pressure sensing. Science Advances 2025;11(16) View
  21. Pimentel M, Pereira A, Machado Neto O, Zimmermann L, Elui V. Quantitative Evaluation of Postural SmartVest’s Multisensory Feedback for Affordable Smartphone-Based Post-Stroke Motor Rehabilitation. International Journal of Environmental Research and Public Health 2025;22(7):1034 View
  22. Sipos D, Vészi K, Bogár B, Pető D, Füredi G, Betlehem J, Pandur A. Smart Clothing and Medical Imaging Innovations for Real-Time Monitoring and Early Detection of Stroke: Bridging Technology and Patient Care. Diagnostics 2025;15(15):1970 View
  23. Yuan Y, Mu J, Wei F, Chen P, Wang Y. Smart insole sensing technology for applied research in hemiplegic gait analysis. Measurement 2026;258:119061 View
  24. Buckley C, Shaw L, McCue P, Brown P, Del Din S, Francis R, Hunter H, Lambert A, Rochester L, Moore S. Wearable Activity Monitors to Quantify Gait During Stroke Rehabilitation: Data from a Pilot Randomised Controlled Trial Examining Auditory Rhythmical Cueing. Symmetry 2025;17(10):1640 View
  25. Rojek I, Mikołajewska E, Małolepsza O, Kozielski M, Mikołajewski D. Comparative Analysis of Different AI Approaches to Stroke Patients’ Gait Analysis. Applied Sciences 2025;15(20):10896 View

Conference Proceedings

  1. Gattinara Di Zubiena F, Liguori L, D'Alvia L, Del Prete Z, Palermo E. 2025 IEEE Medical Measurements & Applications (MeMeA). Design and Development of a Neural Network Based Novel Sensorized Insole for Ground Reaction Force and Center of Pressure Estimation View