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

Emerging Technologies for Rehabilitation (261) User-centred Design Case Studies (596) Technology in Physiotherapy (134) Innovations in Exercise Rehabilitation (213)

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 (12) Tweetations (2) Metrics

Journals

  1. Darby J, Sánchez M, Bew S, Loram I, Butler P. The development of a video retrieval system using a clinician-led approach. Expert Systems with Applications 2020;142:112992 View
  2. Cogollor J, Rojo-Lacal J, Hermsdörfer J, Ferre M, Arredondo Waldmeyer M, Giachritsis C, Armstrong A, Breñosa Martinez J, Bautista Loza D, Sebastián J. Evolution of Cognitive Rehabilitation After Stroke From Traditional Techniques to Smart and Personalized Home-Based Information and Communication Technology Systems: Literature Review. JMIR Rehabilitation and Assistive Technologies 2018;5(1):e4 View
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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
  6. Jackson K, Durić Z, Engdahl S, Santago II A, DeStefano S, Gerber L. Computer-assisted approaches for measuring, segmenting, and analyzing functional upper extremity movement: a narrative review of the current state, limitations, and future directions. Frontiers in Rehabilitation Sciences 2023;4 View
  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

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