Development and clinical validation of an adaptive cognitive training virtual tool for stroke patients

Multidomain cognitive impairment is typical after stroke and often compromises the person’s ability to carry out activities of daily living. Cognitive rehabilitation (CR) consists of a set of interventions devised to mitigate and compensate cognitive deficits in order to promote functional abilities; nonetheless limitations such as the use of paper and pencil tasks in cognitive training (CT), which usually lack ecological validity, and the scarcity of human resources, negatively affect the personalization, intensity and duration of CR in clinical environments. In this project we intend to address these limitations by developing a CT interactive technology that will include CT tasks inspired in several instrumental activities of daily living (e.g., cooking, going to the groceries store, dealing with money, managing medication); two artificial intelligence modules (belief revision and machine learning); gamification factors and remote monitoring in order to provide long-term personalized CT at home.