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

Emerging Technologies for Rehabilitation (261) Ubiquitous Health (uHealth) (123) Wearable Devices and Sensors (888)

Published on in Vol 3, No 2 (2016): Jul-Dec

A Personalized Self-Management Rehabilitation System for Stroke Survivors: A Quantitative Gait Analysis Using a Smart Insole

A Personalized Self-Management Rehabilitation System for Stroke Survivors: A Quantitative Gait Analysis Using a Smart Insole

A Personalized Self-Management Rehabilitation System for Stroke Survivors: A Quantitative Gait Analysis Using a Smart Insole

Authors of this article:

Richard John Davies1 Author Orcid Image ;   Jack Parker2 Author Orcid Image ;   Paul McCullagh1 Author Orcid Image ;   Huiru Zheng1 Author Orcid Image ;   Chris Nugent1 Author Orcid Image ;   Norman David Black1 Author Orcid Image ;   Susan Mawson2 Author Orcid Image
Article Authors Cited by (14) Tweetations (5) Metrics

Journals

  1. Parker J, Powell L, Mawson S. Effectiveness of Upper Limb Wearable Technology for Improving Activity and Participation in Adult Stroke Survivors: Systematic Review. Journal of Medical Internet Research 2020;22(1):e15981 View
  2. Baumgartner C, Baumgartner J, Pirker-Kees A, Rumpl E. Wearables in der Schlaganfallmedizin. Klinische Neurophysiologie 2021;52(01):10 View
  3. Giraldo-Pedroza A, Lee W, Lam W, Coman R, Alici G. Effects of Wearable Devices with Biofeedback on Biomechanical Performance of Running—A Systematic Review. Sensors 2020;20(22):6637 View
  4. Yu J, Wang C, Yang F. Observations on the kinematic characteristics of the healthy side of the knee in stroke patients: A cross-sectional study. Medicine 2022;101(46):e31853 View
  5. 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
  6. Hwang Y, Tung Y, Chen C, Lin B. B-Spline Modeling of Inertial Measurements for Evaluating Stroke Rehabilitation Effectiveness. IEEE Transactions on Neural Systems and Rehabilitation Engineering 2023;31:4008 View
  7. Abdollahi M, Zhou Q, Yuan W. Smart wearable insoles in industrial environments: A systematic review. Applied Ergonomics 2024;118:104250 View
  8. Voisard C, de l’Escalopier N, Ricard D, Oudre L. Automatic gait events detection with inertial measurement units: healthy subjects and moderate to severe impaired patients. Journal of NeuroEngineering and Rehabilitation 2024;21(1) View
  9. 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

Books/Policy Documents

  1. Varriale L, Briganti P, Mele S. Exploring Digital Ecosystems. View
  2. Paixão L, de Morais M, Bublitz F, Bezerra K, Franco C. Innovations in Mechanical Engineering. View
  3. de Morais M, Paixão L, Galdino K, de Morais Oliveira V, Santos R, Moura J, Franco C. Internet of Things. IoT through a Multi-disciplinary Perspective. View
  4. Dorronzoro-Zubiete E, Rivera-Romero O, Nuñez-Benjumea F, Cervera-Torres S. Personalized Health Systems for Cardiovascular Disease. View