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

Cristina Rodríguez-de-Pablo*, Andrej Savić, Thierry Keller

*Corresponding author for this work

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

    6 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

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