University of Tasmania
Browse

File(s) not publicly available

Agent-based monitoring of functional rehabilitation via the use of video games

chapter
posted on 2023-05-22, 21:20 authored by Smith, ST, Talaei-Khoei, A, Ray, M, Ray, P
In recent years, there has been an increasing trend towards using video games for health applications. In particular interactive video games, where an individual interacts with the game by moving their limbs or whole body, have started to find application in the field of rehabilitation medicine. The often dull and repetitive nature of rehabilitation exercise can be transformed into an activity to which patients happily adhere via the use of engaging video games that are enjoyable to play. One additional potential benefit of video game use in rehabilitation is that patients can continue to interact with the video game system in their own home following discharge from hospital. As such, video games may offer a means for rehabilitation specialists to remotely assess compliance of patients with their rehabilitation therapy and monitor changes in function over time. Although the use of technology for monitoring health at home is now widespread, an as yet unexplored challenge lies in integrating information technologies with rehabilitation games. This keeps the health professional informed about compliance and progress of the video game exercise, while the patient performs her/his prescribed rehabilitation routine at home. Therefore, there is a strong need for a computational framework to support the medical professional and patient by using an agent-based architecture. Agents are pieces of software that act on behalf of human roles, involved in rehabilitation process. The objective of this chapter is to thus address major issues in designing an agent-based mobile monitoring system for rehabilitation treatments. The chapter also suggests how to remotely measure the patient’s progress in rehabilitation treatments while the patient plays video games at home.

History

Publication title

Advanced Computational Intelligence Paradigms in Healthcare 5

Volume

326

Editors

Brahnam and Hain

Pagination

113-141

ISBN

978-3-642-16094-3

Department/School

School of Health Sciences

Publisher

Springer-Verlag

Place of publication

Germany

Extent

13

Repository Status

  • Restricted

Socio-economic Objectives

Other health not elsewhere classified

Usage metrics

    University Of Tasmania

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC