Towards precision brain disorder rehabilitation

Brain disorders include any conditions or disabilities that affect the brain. Some frequently occurring brain disorders (caused by e.g., injury or stroke) are associated with balance disorders that can be to some extent compensated by highly personalized and long term rehabilitation. This paper presents basic principles and reports the first results of our project focused on design and development of new generation data-centric approach to treatment of balance disorders through exergames offering many levels of difficulties that can be adjusted through choice of their parameters. The suggested approach paves the way to future precision rehabilitation models, in which the significant part of the training can be ensured through game like exercise supervised by an intelligent adaptive system called Intelligend Therapy Assistant (ITA) providing the patient with biofeedback. Further, the supervising ITA iteratively modifies parameters of the next run of the game (adapts them) according to the current needs of the individual patient in order to keep the patient motivated — this is ensured by introduction of a feedback loop between the ITA system and thorough evaluation of results achieved by the patient during the therapy process.