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Digital Biomarkers for Well-being Through Exergame Interactions: Exploratory Study.

Despoina Petsani1, Evdokimos Konstantinidis1, Aikaterini-Marina Katsouli1

  • 1Medical Physics and Digital Innovation Laboratory, Faculty of Health Sciences, School of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece.

JMIR Serious Games
|September 13, 2022
PubMed
Summary

In-game metrics from serious games (SG) can predict patient well-being and health status. These digital biomarkers offer a novel way to assess health in aging populations.

Keywords:
cognitive well-beingmachine learningphysical well-beingserious games

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Area of Science:

  • Digital Health
  • Biomarkers
  • Gerontology

Background:

  • Assessing patient well-being in aging populations is crucial.
  • Serious games (SG) generate in-game metrics that can indicate health status.
  • Research is exploring game interaction as digital biomarkers for health.

Purpose of the Study:

  • To predict digital biomarkers of well-being from SG interactions.
  • To use clinical assessment test values as ground truth for predictions.

Main Methods:

  • Collected data from Parkinson's disease patients using the webFitForAll exergame platform.
  • Utilized 3D sensor camera to capture body movements as in-game metrics.
  • Compared pre- and post-intervention clinical tests to establish user baselines.

Main Results:

  • In-game metrics effectively categorized participants by cognitive and physical states.
  • Specific in-game metrics showed high descriptive value for clinical tests.
  • These metrics can predict the value range of standard clinical assessments.

Conclusions:

  • In-game metrics show promise as valuable digital biomarkers.
  • Further analysis of in-game metrics can yield more detailed health insights.