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

Assistive Technologies (99) User Needs and Competencies (273)

Published on in Vol 5, No 2 (2018): Jul-Dec

Assistive Technology for the Upper Extremities After Stroke: Systematic Review of Users’ Needs

Assistive Technology for the Upper Extremities After Stroke: Systematic Review of Users’ Needs

Assistive Technology for the Upper Extremities After Stroke: Systematic Review of Users’ Needs

Authors of this article:

Anne L van Ommeren1, 2 Author Orcid Image ;   Laura C Smulders3 Author Orcid Image ;   Gerdienke B Prange-Lasonder1, 2 Author Orcid Image ;   Jaap H Buurke1, 4 Author Orcid Image ;   Peter H Veltink4 Author Orcid Image ;   Johan S Rietman1, 2 Author Orcid Image
Article Authors Cited by (45) Tweetations (1) Metrics

Journals

  1. Howard J, Fisher Z, Kemp A, Lindsay S, Tasker L, Tree J. Exploring the barriers to using assistive technology for individuals with chronic conditions: a meta-synthesis review. Disability and Rehabilitation: Assistive Technology 2022;17(4):390 View
  2. Flynn N, Kuys S, Froude E, Cooke D. Introducing robotic upper limb training into routine clinical practice for stroke survivors: Perceptions of occupational therapists and physiotherapists. Australian Occupational Therapy Journal 2019;66(4):530 View
  3. Flynn N, Froude E, Cooke D, Kuys S. Repetitions, duration and intensity of upper limb practice following the implementation of robot assisted therapy with sub-acute stroke survivors: an observational study. Disability and Rehabilitation: Assistive Technology 2022;17(6):675 View
  4. Louie D, Bird M, Menon C, Eng J. Perspectives on the prospective development of stroke-specific lower extremity wearable monitoring technology: a qualitative focus group study with physical therapists and individuals with stroke. Journal of NeuroEngineering and Rehabilitation 2020;17(1) View
  5. Barbosa I, Alves P, Silveira Z. Upper limbs’ assistive devices for stroke rehabilitation: a systematic review on design engineering solutions. Journal of the Brazilian Society of Mechanical Sciences and Engineering 2021;43(5) View
  6. Jiménez E, Ordóñez F. A Pilot Study of the Psychosocial Impact of Low-Cost Assistive Technology for Sexual Functioning in People with Acquired Brain Injury. International Journal of Environmental Research and Public Health 2021;18(7):3765 View
  7. Ranzani R, Eicher L, Viggiano F, Engelbrecht B, Held J, Lambercy O, Gassert R. Towards a Platform for Robot-Assisted Minimally-Supervised Therapy of Hand Function: Design and Pilot Usability Evaluation. Frontiers in Bioengineering and Biotechnology 2021;9 View
  8. Bower K, Verdonck M, Hamilton A, Williams G, Tan D, Clark R. What Factors Influence Clinicians’ Use of Technology in Neurorehabilitation? A Multisite Qualitative Study. Physical Therapy 2021;101(5) View
  9. Li L, Fu Q, Tyson S, Preston N, Weightman A. A scoping review of design requirements for a home-based upper limb rehabilitation robot for stroke. Topics in Stroke Rehabilitation 2022;29(6):449 View
  10. Seim C, Ritter B, Starner T, Flavin K, Lansberg M, Okamura A. Design of a Wearable Vibrotactile Stimulation Device for Individuals With Upper-Limb Hemiparesis and Spasticity. IEEE Transactions on Neural Systems and Rehabilitation Engineering 2022;30:1277 View
  11. Meyer J, Gassert R, Lambercy O. An analysis of usability evaluation practices and contexts of use in wearable robotics. Journal of NeuroEngineering and Rehabilitation 2021;18(1) View
  12. Meyer J, Weber S, Jäger L, Sigrist R, Gassert R, Lambercy O. A survey on the influence of CYBATHLON on the development and acceptance of advanced assistive technologies. Journal of NeuroEngineering and Rehabilitation 2022;19(1) View
  13. Howard J, Tasker L, Fisher Z, Tree J. Assessing the use of co-design to produce bespoke assistive technology solutions within a current healthcare service: a service evaluation. Disability and Rehabilitation: Assistive Technology 2024;19(1):42 View
  14. Tacca N, Nassour J, Ehrlich S, Berberich N, Cheng G. Neuro-cognitive assessment of intentional control methods for a soft elbow exosuit using error-related potentials. Journal of NeuroEngineering and Rehabilitation 2022;19(1) View
  15. Huber J, Slone S, Bazrgari B. An evaluation of 3D printable elastics for post stroke dynamic hand bracing: a pilot study. Assistive Technology 2023;35(6):513 View
  16. Gantenbein J, Dittli J, Meyer J, Gassert R, Lambercy O. Intention Detection Strategies for Robotic Upper-Limb Orthoses: A Scoping Review Considering Usability, Daily Life Application, and User Evaluation. Frontiers in Neurorobotics 2022;16 View
  17. Kottink A, Nikamp C, Bos F, van der Sluis C, van den Broek M, Onneweer B, Stolwijk-Swüste J, Brink S, Voet N, Buurke J, Rietman J, Prange-Lasonder G. Therapeutic Effect of a Soft Robotic Glove for Activities of Daily Living In People With Impaired Hand Strength: Protocol for a Multicenter Clinical Trial (iHand). JMIR Research Protocols 2022;11(4):e34200 View
  18. Zapata M, Valencia-Aragón K, Ramos-Galarza C. Experimental Evaluation of EMKEY: An Assistive Technology for People with Upper Limb Disabilities. Sensors 2023;23(8):4049 View
  19. Ventura S, Ottoboni G, Pappadà A, Tessari A. Acceptance of Assistive Technology by Users with Motor Disabilities Due to Spinal Cord or Acquired Brain Injuries: A Systematic Review. Journal of Clinical Medicine 2023;12(8):2962 View
  20. Howard J, Bowtell M, Fisher Z, Tasker L, Tree J. Can a previously co-designed device be used by others? A service evaluation of the use of the Sativex spray holder for individuals with multiple sclerosis. Disability and Rehabilitation: Assistive Technology 2024;19(4):1700 View
  21. 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
  22. Broderick M, O'Shea R, Burridge J, Demain S, Johnson L, Bentley P. Examining Usability, Acceptability, and Adoption of a Self-Directed, Technology-Based Intervention for Upper Limb Rehabilitation After Stroke: Cohort Study. JMIR Rehabilitation and Assistive Technologies 2023;10:e45993 View
  23. Kuo F, Wu Y, Kuo T, Lee Y, Huang S, Lee H. Effects of 3D-printed assistive device on daily life function in patients with neurological impairment: a pilot study. Disability and Rehabilitation: Assistive Technology 2024;19(4):1648 View
  24. TİMURTAŞ E, POLAT M. Covid-19 pandemisinde fizyoterapistlerin telerehabilitasyon uygulamaları bariyer ve fasilitatörlerinin incelenmesi. Journal of Exercise Therapy and Rehabilitation 2022;9(2):108 View
  25. Ventura S, Ottoboni G, Lullini G, Chattat R, Simoncini L, Magni E, Piperno R, La Porta F, Tessari A. Co-designing an interactive artificial intelligent system with post-stroke patients and caregivers to augment the lost abilities and improve their quality of life: a human-centric approach. Frontiers in Public Health 2023;11 View
  26. Usman J, Salisu R, Abdullahi A, Salihu A, Muhammad A, Sulaiman S, Yakasai A. Assistive Technology utilization among stroke survivors in Kano, Northwest Nigeria: A cross-sectional study. Assistive Technology 2024;36(3):209 View
  27. Dennler N, Cain A, De Guzman E, Chiu C, Winstein C, Nikolaidis S, Matarić M. A metric for characterizing the arm nonuse workspace in poststroke individuals using a robot arm. Science Robotics 2023;8(84) View
  28. Curtis S, Sheehan L, Buchman E, Bhattacharjya S. Clinicians’ perspectives and usage of rehabilitation technology: a survey. Disability and Rehabilitation: Assistive Technology 2023:1 View
  29. Dittli J, Meyer J, Gantenbein J, Bützer T, Ranzani R, Linke A, Curt A, Gassert R, Lambercy O. Mixed methods usability evaluation of an assistive wearable robotic hand orthosis for people with spinal cord injury. Journal of NeuroEngineering and Rehabilitation 2023;20(1) View
  30. Meyers E, Gabrieli D, Tacca N, Wengerd L, Darrow M, Schlink B, Baumgart I, Friedenberg D. Decoding hand and wrist movement intention from chronic stroke survivors with hemiparesis using a user-friendly, wearable EMG-based neural interface. Journal of NeuroEngineering and Rehabilitation 2024;21(1) View
  31. KhalilianMotamed Bonab A, Chiaradia D, Frisoli A, Leonardis D. A Framework for Modeling, Optimization, and Musculoskeletal Simulation of an Elbow–Wrist Exosuit. Robotics 2024;13(4):60 View
  32. Hwang S, Min K, Song C. Assistive technology on upper extremity function for stroke patients: A systematic review with meta-analysis. Journal of Hand Therapy 2024 View
  33. Winterbottom L, Chen A, Mendonca R, Nilsen D, Ciocarlie M, Stein J. Clinician perceptions of a novel wearable robotic hand orthosis for post-stroke hemiparesis. Disability and Rehabilitation 2024:1 View

Books/Policy Documents

  1. Johnson M, Bui K, Rahimi N. Handbook of Global Health. View
  2. Johnson M, Bui K, Rahimi N. Handbook of Global Health. View
  3. Thöne-Otto A. Assistive Technologien im Sozial- und Gesundheitssektor. View
  4. Demers M, Rowe J, Prochazka A. Neurorehabilitation Technology. View
  5. Klaic M, Crocher V. Rehabilitation Robots for Neurorehabilitation in High-, Low-, and Middle-Income Countries. View