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

Wearable Devices and Sensors (888) mHealth for Data Collection and Research (955) mHealth for Rehabilitation (263) Cognitive and Neurorehabilitation (262) Emerging Technologies for Rehabilitation (261) Stroke (163)

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 (19) Tweetations (1) Metrics

Journals

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  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
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  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 (Preprint). JMIR Aging 2023 View
  18. Ozhan S, Duruturk N. Investigating the relationship of trunk and postural control with pulmonary functions in subacute stroke patients. Neurological Sciences 2024 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