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

Cognitive and Neurorehabilitation (267)

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

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/10714, first published .
Capturing Expert Knowledge for the Personalization of Cognitive Rehabilitation: Study Combining Computational Modeling and a Participatory Design Strategy

Capturing Expert Knowledge for the Personalization of Cognitive Rehabilitation: Study Combining Computational Modeling and a Participatory Design Strategy

Capturing Expert Knowledge for the Personalization of Cognitive Rehabilitation: Study Combining Computational Modeling and a Participatory Design Strategy

Authors of this article:

Ana Lúcia Faria1, 2 Author Orcid Image ;   Maria Salomé Pinho2, 3 Author Orcid Image ;   Sergi Bermúdez i Badia1, 4 Author Orcid Image
Article Authors Cited by (9) Tweetations (2) Metrics

Journals

  1. Faria A, Pinho M, Bermúdez i Badia S. A comparison of two personalization and adaptive cognitive rehabilitation approaches: a randomized controlled trial with chronic stroke patients. Journal of NeuroEngineering and Rehabilitation 2020;17(1) View
  2. Garcia-Rudolph A, Opisso E, Tormos J, Madai V, Frey D, Becerra H, Kelleher J, Bernabeu Guitart M, López J. Toward Personalized Web-Based Cognitive Rehabilitation for Patients With Ischemic Stroke: Elo Rating Approach. JMIR Medical Informatics 2021;9(11):e28090 View
  3. Câmara J, Ferreira R, Teixeira L, Nóbrega J, Romeira C, Badia S, Faria A. Efficacy of adaptive cognitive training through desktop virtual reality and paper-and-pencil in the treatment of mental and behavioral disorders. Virtual Reality 2023;27(1):291 View
  4. Faria A, Almeida Y, Branco D, Câmara J, Cameirão M, Ferreira L, Moreira A, Paulino T, Rodrigues P, Spinola M, Vilar M, Bermúdez i Badia S, Simões M, Fermé E. NeuroAIreh@b: an artificial intelligence-based methodology for personalized and adaptive neurorehabilitation. Frontiers in Neurology 2024;14 View
  5. Fan Y, Zhu L, Wang H, Song A. Synthesize Personalized Training for Robot-Assisted Upper Limb Rehabilitation With Diversity Enhancement. IEEE Transactions on Visualization and Computer Graphics 2024;30(8):5705 View

Books/Policy Documents

  1. Muñoz J, Montoya M, Boger J. Smart Home Technologies and Services for Geriatric Rehabilitation. View