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Citing this Article

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Published on 07.01.16 in Vol 3, No 1 (2016): Jan-Jun

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

Works citing "A Personalized Self-Management Rehabilitation System with an Intelligent Shoe for Stroke Survivors: A Realist Evaluation"

According to Crossref, the following articles are citing this article (DOI 10.2196/rehab.5079):

(note that this is only a small subset of citations)

  1. Olafsdottir SA, Jonsdottir H, Bjartmarz I, Magnusson C, Caltenco H, Kytö M, Maye L, McGookin D, Arnadottir SA, Hjaltadottir I, Hafsteinsdottir TB. Feasibility of ActivABLES to promote home-based exercise and physical activity of community-dwelling stroke survivors with support from caregivers: A mixed methods study. BMC Health Services Research 2020;20(1)
    CrossRef
  2. 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
    CrossRef
  3. Olafsdottir SA, Jonsdottir H, Magnusson C, Caltenco H, Kytö M, Maye L, McGookin D, Bjartmarz I, Arnadottir SA, Hjaltadottir I, Hafsteinsdottir TB. Developing ActivABLES for community-dwelling stroke survivors using the Medical Research Council framework for complex interventions. BMC Health Services Research 2020;20(1)
    CrossRef
  4. Fitter NT, Mohan M, Kuchenbecker KJ, Johnson MJ. Exercising with Baxter: preliminary support for assistive social-physical human-robot interaction. Journal of NeuroEngineering and Rehabilitation 2020;17(1)
    CrossRef
  5. Bakker M, Beijer L, Rietveld T. Considerations on Effective Feedback in Computerized Speech Training for Dysarthric Speakers. Telemedicine and e-Health 2019;25(5):351
    CrossRef
  6. Batten HR, McPhail SM, Mandrusiak AM, Varghese PN, Kuys SS. Gait speed as an indicator of prosthetic walking potential following lower limb amputation. Prosthetics and Orthotics International 2019;43(2):196
    CrossRef
  7. Castellanos-Cruz JL, Gómez-Medina MF, Tavakoli M, Pilarski PM, Adams K. Comparison of Attentive and Explicit Eye Gaze Interfaces for Controlling Haptic Guidance of a Robotic Controller. Journal of Medical Robotics Research 2019;04(03n04):1950005
    CrossRef
  8. Powell L, Parker J, Harpin V, Mawson S. Guideline Development for Technological Interventions for Children and Young People to Self-Manage Attention Deficit Hyperactivity Disorder: Realist Evaluation. Journal of Medical Internet Research 2019;21(4):e12831
    CrossRef
  9. Karinharju KS, Boughey AM, Tweedy SM, Clanchy KM, Trost SG, Gomersall SR. Validity of the Apple Watch® for monitoring push counts in people using manual wheelchairs. The Journal of Spinal Cord Medicine 2019;:1
    CrossRef
  10. Nam J, Kim H. How assistive devices affect activities of daily living and cognitive functions of people with brain injury: a meta-analysis. Disability and Rehabilitation: Assistive Technology 2018;13(3):305
    CrossRef
  11. Hobson EV, Baird WO, Partridge R, Cooper CL, Mawson S, Quinn A, Shaw PJ, Walsh T, Wolstenholme D, Mcdermott CJ. The TiM system: developing a novel telehealth service to improve access to specialist care in motor neurone disease using user-centered design. Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration 2018;19(5-6):351
    CrossRef
  12. de Vries J, van Ommeren A, Prange-Lasonder G, Rietman J, Veltink P. Detection of the intention to grasp during reach movements. Journal of Rehabilitation and Assistive Technologies Engineering 2018;5:205566831775285
    CrossRef
  13. Lazarou I, Nikolopoulos S, Petrantonakis PC, Kompatsiaris I, Tsolaki M. EEG-Based Brain–Computer Interfaces for Communication and Rehabilitation of People with Motor Impairment: A Novel Approach of the 21st Century. Frontiers in Human Neuroscience 2018;12
    CrossRef
  14. Jafari N, Adams K, Tavakoli M, Wiebe S, Janz H. Usability testing of a developed assistive robotic system with virtual assistance for individuals with cerebral palsy: a case study. Disability and Rehabilitation: Assistive Technology 2018;13(6):517
    CrossRef
  15. Munoz-Organero M, Parker J, Powell L, Davies R, Mawson S. Sensor Optimization in Smart Insoles for Post-Stroke Gait Asymmetries Using Total Variation and L1Distances. IEEE Sensors Journal 2017;17(10):3142
    CrossRef
  16. Munoz-Organero M, Littlewood C, Parker J, Powell L, Grindell C, Mawson S. Identification of Walking Strategies of People With Osteoarthritis of the Knee Using Insole Pressure Sensors. IEEE Sensors Journal 2017;17(12):3909
    CrossRef
  17. Orendurff MS, Kobayashi T, Villarosa CQ, Coleman KL, Boone DA. Comparison of a computerized algorithm and prosthetists’ judgment in rating functional levels based on daily step activity in transtibial amputees. Journal of Rehabilitation and Assistive Technologies Engineering 2016;3:205566831667053
    CrossRef
  18. Munoz-Organero M, Parker J, Powell L, Mawson S. Assessing Walking Strategies Using Insole Pressure Sensors for Stroke Survivors. Sensors 2016;16(10):1631
    CrossRef
  19. Davies RJ, Parker J, McCullagh P, Zheng H, Nugent C, Black ND, Mawson S. A Personalized Self-Management Rehabilitation System for Stroke Survivors: A Quantitative Gait Analysis Using a Smart Insole. JMIR Rehabilitation and Assistive Technologies 2016;3(2):e11
    CrossRef
  20. Powell L, Parker J, Martyn St-James M, Mawson S. The Effectiveness of Lower-Limb Wearable Technology for Improving Activity and Participation in Adult Stroke Survivors: A Systematic Review. Journal of Medical Internet Research 2016;18(10):e259
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/rehab.5079)

:
  1. Sjölinder M, Avatare Nöu A, Kolkowska E, Johansson L, Ridderstolpe A, Scandurra I. Human Aspects of IT for the Aged Population. Applications in Health, Assistance, and Entertainment. 2018. Chapter 29:395
    CrossRef