Citation:
Oña, E. D., Jardón, A., Cuesta-Gómez, A., Sánchez-Herrera-Baeza, P., Cano-de-la-Cuerda, R., and Balaguer, C. (2020). Validity of a Fully-Immersive VR-Based Version of the Box and Blocks Test for Upper Limb Function Assessment in Parkinson’s Disease. Sensors, 20(10), 2773.
xmlui.dri2xhtml.METS-1.0.item-contributor-funder:
Ministerio de Economía y Competitividad (España) Comunidad de Madrid
Sponsor:
This work was supported in part by the Spanish Ministry of Economy and Competitiveness via the
ROBOESPAS project (DPI2017-87562-C2-1-R), and in part by the RoboCity2030-DIH-CM, Madrid Robotics Digital Innovation Hub (S2018/NMT-4331), which is funded by the Programas de Actividades I+D Comunidad de Madrid and cofunded by the Structural Funds of the EU.
Project:
Gobierno de España. DPI2017-87562-C2-1-R Comunidad de Madrid. S2018/NMT-4331
Keywords:
Automatic
,
Assessment
,
Manual dexterity
,
Parkinson’s disease
,
Neurological rehabilitation
,
Virtual reality
,
Games for health
In recent decades, gaming technology has been accepted as a feasible method for
complementing traditional clinical practice, especially in neurorehabilitation; however, the viability of using 3D Virtual Reality (VR) for the assessment of upper limb motor funcIn recent decades, gaming technology has been accepted as a feasible method for
complementing traditional clinical practice, especially in neurorehabilitation; however, the viability of using 3D Virtual Reality (VR) for the assessment of upper limb motor function has not been fully explored. For that purpose, we developed a VR-based version of the Box and Blocks Test (BBT), a clinical test for the assessment of manual dexterity, as an automated alternative to the classical procedure. Our VR-based BBT (VR-BBT) integrates the traditional BBT mechanics into gameplay using the Leap Motion Controller (LMC) to capture the user’s hand motion and the Oculus Rift headset to provide a fully immersive experience. This paper focuses on evaluating the validity of our VR-BBT to reliably measure the manual dexterity in a sample of patients with Parkinson’s Disease (PD). For this study, a group of twenty individuals in a mild to moderate stage of PD were recruited.
Participants were asked to perform the physical BBT (once) and our proposed VR-BBT (twice) system,separately. Correlation analysis of collected data was carried out. Statistical analysis proved that the performance data collected by the VR-BBT significantly correlated with the conventional assessment of the BBT. The VR-BBT scores have shown a significant association with PD severity measured by the Hoehn and Yahr scale. This fact suggests that the VR-BBT could be used as a reliable indicator for health improvements in patients with PD. Finally, the VR-BBT system presented high usability and acceptability rated by clinicians and patients.[+][-]