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

New Methods (944) Extended Reality, Virtual Reality and Virtual Worlds (560) Emerging Technologies for Rehabilitation (261) Robotics in Rehabilitation (38) Fitness Trackers and Smart Pedometers/Accelerometers (561)

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

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

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

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

Authors of this article:

Lauren Powell1 Author Orcid Image ;   Jack Parker1 Author Orcid Image ;   Marrissa Martyn St-James1 Author Orcid Image ;   Susan Mawson1 Author Orcid Image
Article Authors Cited by (25) Tweetations (15) Metrics

Journals

  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 View
  2. Lin D, Finklestein S, Cramer S. New Directions in Treatments Targeting Stroke Recovery. Stroke 2018;49(12):3107 View
  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 View
  4. Dobkin B, Martinez C. Wearable Sensors to Monitor, Enable Feedback, and Measure Outcomes of Activity and Practice. Current Neurology and Neuroscience Reports 2018;18(12) View
  5. Dobkin B, Dorsch A. The Evolution of Personalized Behavioral Intervention Technology. Stroke 2017;48(8):2329 View
  6. Lin D, Papi E, McGregor A. Exploring the clinical context of adopting an instrumented insole: a qualitative study of clinicians’ preferences in England. BMJ Open 2019;9(4):e023656 View
  7. Davies R, Parker J, McCullagh P, Zheng H, Nugent C, Black N, 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 View
  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 View
  9. Martinez-Hernandez U, Dehghani-Sanij A. Probabilistic identification of sit-to-stand and stand-to-sit with a wearable sensor. Pattern Recognition Letters 2019;118:32 View
  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 View
  11. Bronts H. Een smart inlegzool bij artrose: wat vindt de zorgprofessional ervan?. Podosophia 2020;28(2):49 View
  12. Demers M, Winstein C. A perspective on the use of ecological momentary assessment and intervention to promote stroke recovery and rehabilitation. Topics in Stroke Rehabilitation 2020:1 View
  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 View
  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 View
  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 View
  16. Toh S, Fong K, Gonzalez P, Tang Y. 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 View
  17. Demers M, Cain A, Bishop L, Gunby T, Rowe J, Zondervan D, Winstein C. Understanding stroke survivors’ preferences regarding wearable sensor feedback on functional movement: a mixed-methods study. Journal of NeuroEngineering and Rehabilitation 2023;20(1) View
  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 View
  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 View
  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 View
  21. Galvão W, Castro Silva L, Viana R, Oliveira P, Jucá R, Martins H, Rabelo M, Fachin-Martins E, Lima L. 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;37(1):21 View
  22. Wortley D, An J, Nigg C. Wearable technologies, health and well-being: A case review. Digital Medicine 2017;3(1):11 View
  23. Shefa F, Sifat F, Uddin J, Ahmad Z, Kim J, Kibria M. Deep Learning and IoT-Based Ankle–Foot Orthosis for Enhanced Gait Optimization. Healthcare 2024;12(22):2273 View

Books/Policy Documents

  1. John O, Fallavollita P. Connected Health in Smart Cities. View