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

Emerging Technologies for Rehabilitation (292) Stroke (185) Assistive Technologies (127) Neurorehabilitation and Technology (20)

Published on in Vol 10 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/44285, first published .
Use of the Digital Assistant Vigo in the Home Environment for Stroke Recovery: Focus Group Discussion With Specialists Working in Neurorehabilitation

Use of the Digital Assistant Vigo in the Home Environment for Stroke Recovery: Focus Group Discussion With Specialists Working in Neurorehabilitation

Use of the Digital Assistant Vigo in the Home Environment for Stroke Recovery: Focus Group Discussion With Specialists Working in Neurorehabilitation

Authors of this article:

Klinta Epalte1 Author Orcid Image ;   Aleksandrs Grjadovojs1 Author Orcid Image ;   Guna Bērziņa1 Author Orcid Image
Article Authors Cited by (2) Tweetations (2) Metrics

Journals

  1. Jeter R, Greenfield R, Housley S, Belykh I. Classifying Residual Stroke Severity Using Robotics-Assisted Stroke Rehabilitation: Machine Learning Approach. JMIR Biomedical Engineering 2024;9:e56980 View
  2. Oh S, Lee S. Rehabilomics Strategies Enabled by Cloud-Based Rehabilitation: Scoping Review. Journal of Medical Internet Research 2025;27:e54790 View