All participants performed a training program, lasting 3 weeks for persons with MS and 4 weeks for persons with stroke, in which they performed VR balance exergames with a movement recognition-based system (MindMotion GO; MindMaze SA). 
MindMotion GO
All participants performed a training program, lasting 3 weeks for persons with MS and 4 weeks for persons with stroke, in which they performed VR balance exergames with a movement recognition-based system (MindMotion GO; MindMaze SA). 
MindMaze SA
The aim of this study was to apply the Rasch model to create a hierarchical order of existing VR balance exergames and to relate these exergames to the abilities of persons with neurological disorders, in order to deliver challenge and variation.


 Berg Balance Scale and device scores were analyzed with the Rasch model using a repeated-measures approach to examine whether the distribution of exercise scores fitted the Rasch model.  A total of 47 exercises (ie, items) had a sufficiently good fit to the Rasch model.  The VR exercises sufficiently fitted the Rasch model and resulted in a hierarchical order of VR balance exercises for persons with stroke and MS with low to moderate balance ability. 
Rasch model
VR exercise scores, Berg Balance Scale scores, and clinical descriptive data were collected.  Berg Balance Scale and device scores were analyzed with the Rasch model using a repeated-measures approach to examine whether the distribution of exercise scores fitted the Rasch model.  In combination with the Berg Balance Scale, the results can guide clinical decision-making in the selection of patient-focused VR balance exercises.



Berg Balance Scale
ClinicalTrials.gov NCT03993275; https://clinicaltrials.gov/ct2/show/NCT03993275.
ClinicalTrials.gov