Evaluating A VR-based Box and Blocks Test for Automatic Assessment of Manual Dexterity: A Preliminary Study in Parkinson's Disease
7th International Conference on Serious Games and Applications for Health SeGAH

Opportunities of using Virtual Reality (VR) technology for the automation of clinical procedures in general, and for the assessment of motor function in particular, have not been fully explored in Parkinson’ disease (PD). For that purpose, a game-like version of the Box and Blocks Test (BBT) for automatic
assessment of hand motor function in VR was built. This system
uses the Leap Motion Controller (LMC) for hand tracking and
the Oculus Rift for a fully immersive experience. In this paper,
we focus on evaluating the capabilities of our VR-BBT to reliably
measure the manual dexterity in a sample of PD patients. For
this study, a group of nine individuals in mild to moderate stage
of PD were recruited. Participants were asked to perform both
the physical BBT and the VR-BBT systems. Correlation analysis
of collected data was carried out comparing the BBT and VRBBT
assessments. The test-retest reliability was also explored
for the scores gathered with the virtual tool. Statistical analysis
proved that the performance data collected by the game-like
system correlated with the validated measures of the physical
BBT, with a strong test-retest reliability. This fact suggests that
the virtual version of the BBT could be used as a valid and
reliable indicator for health improvements.

First page
Last page