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

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 View