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Citing this Article

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Published on 07.10.16 in Vol 18, No 10 (2016): October

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

Works citing "The Effectiveness of Lower-Limb Wearable Technology for Improving Activity and Participation in Adult Stroke Survivors: A Systematic Review"

Lauren Powell, Jack Parker, Marrissa Martyn St-James, Susan Mawson

J Med Internet Res 2016 (Oct 07); 18(10):e259 

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.5891):

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

  1. Penno E, Gauld R. Change, Connectivity, and Challenge: Exploring the Role of Health Technology in Shaping Health Care for Aging Populations in Asia Pacific. Health Systems & Reform 2017;3(3):224
    CrossRef
  2. Lin DJ, Finklestein SP, Cramer SC. New Directions in Treatments Targeting Stroke Recovery. Stroke 2018;49(12):3107
    CrossRef
  3. Li J, Liu J, Li C, Zhang H, Li Y. Wearable Wrist Movement Monitoring Using Dual Surface-Treated Plastic Optical Fibers. Materials 2020;13(15):3291
    CrossRef
  4. Dobkin BH, Martinez C. Wearable Sensors to Monitor, Enable Feedback, and Measure Outcomes of Activity and Practice. Current Neurology and Neuroscience Reports 2018;18(12)
    CrossRef
  5. Dobkin BH, Dorsch AK. The Evolution of Personalized Behavioral Intervention Technology. Stroke 2017;48(8):2329
    CrossRef
  6. Lin D, Papi E, McGregor AH. Exploring the clinical context of adopting an instrumented insole: a qualitative study of clinicians’ preferences in England. BMJ Open 2019;9(4):e023656
    CrossRef
  7. 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
  8. 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
  9. Martinez-Hernandez U, Dehghani-Sanij AA. Probabilistic identification of sit-to-stand and stand-to-sit with a wearable sensor. Pattern Recognition Letters 2019;118:32
    CrossRef
  10. Church G, Parker J, Powell L, Mawson S. The effectiveness of group exercise for improving activity and participation in adult stroke survivors: a systematic review. Physiotherapy 2019;105(4):399
    CrossRef
  11. . Een smart inlegzool bij artrose: wat vindt de zorgprofessional ervan?. Podosophia 2020;28(2):49
    CrossRef
  12. Demers M, Winstein CJ. A perspective on the use of ecological momentary assessment and intervention to promote stroke recovery and rehabilitation. Topics in Stroke Rehabilitation 2020;:1
    CrossRef
  13. Lu L, Zhang J, Xie Y, Gao F, Xu S, Wu X, Ye Z. Wearable Health Devices in Health Care: Narrative Systematic Review. JMIR mHealth and uHealth 2020;8(11):e18907
    CrossRef
  14. Yu S, Chen Z, Wu X. The Impact of Wearable Devices on Physical Activity for Chronic Disease Patients: Findings from the 2019 Health Information National Trends Survey. International Journal of Environmental Research and Public Health 2023;20(1):887
    CrossRef
  15. Karakas H, Seebacher B, Kahraman T. Technology-Based Rehabilitation in People with Multiple Sclerosis: A Narrative Review. Journal of Multiple Sclerosis Research 2021;1(3):54
    CrossRef
  16. Toh SFM, Fong KNK, Gonzalez PC, Tang YM. Application of Home-Based Wearable Technologies in Physical Rehabilitation for Stroke: A Scoping Review. IEEE Transactions on Neural Systems and Rehabilitation Engineering 2023;31:1614
    CrossRef
  17. Demers M, Cain A, Bishop L, Gunby T, Rowe JB, Zondervan DK, Winstein CJ. Understanding stroke survivors’ preferences regarding wearable sensor feedback on functional movement: a mixed-methods study. Journal of NeuroEngineering and Rehabilitation 2023;20(1)
    CrossRef
  18. 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
    CrossRef
  19. Tao Q, Liu S, Zhang J, Jiang J, Jin Z, Huang Y, Liu X, Lin S, Zeng X, Li X, Tao G, Chen H. Clinical applications of smart wearable sensors. iScience 2023;26(9):107485
    CrossRef
  20. Paterson S, Dawes H, Winward C, Bartram E, Dodds E, McKinon J, Gaskell H, Collett J. Use of the Capability, Opportunity and Motivation Behaviour model (COM-B) to Understand Interventions to Support Physical Activity Behaviour in People with Stroke: An Overview of Reviews. Clinical Rehabilitation 2024;38(4):543
    CrossRef
  21. Galvão WR, Castro Silva LK, Viana RT, Oliveira PHA, Jucá RVBDM, Martins HR, Rabelo M, Fachin-Martins E, Lima LAO. Application of the participatory design in the testing of a baropodometric insole prototype for weight-bearing asymmetry after a stroke: A qualitative study. Hong Kong Journal of Occupational Therapy 2024;
    CrossRef
  22. Wortley D, An J, Nigg CR. Wearable technologies, health and well-being: A case review. Digital Medicine 2017;3(1):11
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/jmir.5891):

  1. John O, Fallavollita P. Connected Health in Smart Cities. 2020. Chapter 9:179
    CrossRef