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Game-based assessment in upper-limb post-stroke telerehabilitation

  • Cristina Rodríguez-de-Pablo*
  • , Andrej Savić
  • , Thierry Keller
  • *Corresponding author for this work
  • Foundation TECNALIA Research & Innovation
  • University of Belgrade

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

8 Citations (Scopus)

Abstract

ArmAssist is a low-cost robotic system for post-stroke upper-limb rehabilitation based on serious games. The system incorporates a set of games for assessment, the ArmAssist Assessment (AAA). AAA provides a fast, quantitative and automatic evaluation of the arm function and allows a remote monitoring of the progress of the patient and an automatic adaptation of the therapy; all of them essential elements for partially unsupervised or remote rehabilitation. Apart from usability and motivational components, demonstrating the clinical meaningfulness of this assessment is crucial in order to be considered useful. Current study shows a statistically significant correlation of the AAA with three widely-used clinical tests, the Fugl-Meyer Assessment (FMA), the Action Research Arm Test (ARAT) and the Wolf Motor Function Test (WMFT). These results look promising and are expected to be improved with currently ongoing improvements in the system.

Original languageEnglish
Title of host publicationBiosystems and Biorobotics
PublisherSpringer International Publishing
Pages413-417
Number of pages5
DOIs
Publication statusPublished - 2017

Publication series

NameBiosystems and Biorobotics
Volume15
ISSN (Print)2195-3562
ISSN (Electronic)2195-3570

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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