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

Emerging Technologies for Rehabilitation (270) User-centred Design Case Studies (602) Technology in Physiotherapy (136) Innovations in Exercise Rehabilitation (216)

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

How Therapists Use Visualizations of Upper Limb Movement Information From Stroke Patients: A Qualitative Study With Simulated Information

How Therapists Use Visualizations of Upper Limb Movement Information From Stroke Patients: A Qualitative Study With Simulated Information

How Therapists Use Visualizations of Upper Limb Movement Information From Stroke Patients: A Qualitative Study With Simulated Information

Authors of this article:

Bernd Ploderer1, 2 Author Orcid Image ;   Justin Fong2, 3 Author Orcid Image ;   Marlena Klaic2, 4 Author Orcid Image ;   Siddharth Nair2 Author Orcid Image ;   Frank Vetere2 Author Orcid Image ;   L. Eduardo Cofré Lizama2, 5 Author Orcid Image ;   Mary Pauline Galea2, 5 Author Orcid Image
Article Authors Cited by (14) Tweetations (2) Metrics

Journals

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  4. David A, Subash T, Varadhan S, Melendez-Calderon A, Balasubramanian S. A Framework for Sensor-Based Assessment of Upper-Limb Functioning in Hemiparesis. Frontiers in Human Neuroscience 2021;15 View
  5. Jung H, Kim Y, Lee J, Lee S, Choe E, Huang M. Envisioning the use of in-situ arm movement data in stroke rehabilitation: Stroke survivors’ and occupational therapists’ perspectives. PLOS ONE 2022;17(10):e0274142 View
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  7. Sun L, Wu G, Zhou Y, Deng A, Chen Z. Prospective study on ultrasound-guided stellate ganglion block improves cerebral blood flow in patients with stroke. Journal of Stroke and Cerebrovascular Diseases 2024;33(4):107593 View
  8. 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
  9. Li M, Mu B, Li M, Zhang X, Zhang J, Huang H, Wang H. Magnetic resonance imaging studies on acupuncture therapy in cerebral ischemic stroke: A systematic review. Heliyon 2024;10(20):e39059 View
  10. Lee J, Lee S, Choe E. GoalTrack: Supporting Personalized Goal-Setting in Stroke Rehabilitation with Multimodal Activity Journaling. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2024;8(4):1 View
  11. Lauer-Schmaltz M, Cash P, Paulin Hansen J, Das N. Human Digital Twins in Rehabilitation: A Case Study on Exoskeleton and Serious-Game-Based Stroke Rehabilitation Using the ETHICA Methodology. IEEE Access 2024;12:180968 View

Books/Policy Documents

  1. Qi T, Boyd L, Fitzpatrick S, Raswan M, Cibrian F. Proceedings of the 15th International Conference on Ubiquitous Computing & Ambient Intelligence (UCAmI 2023). View