The application discloses a VR training
system based on the cognitive function defect characteristics of children's
attention deficit hyperactivity disorder, relates to the technical field of digital
medical treatment, and comprises a
data acquisition module, a data evaluation module, a VR training module, a dynamic adjustment module, a result output module and a collaborative work module; the application constructs an objective
quantitative model by fusing multi-
modal data, accurately identifies three ADHD subtypes and the degree of cognitive defect of each dimension, solves the problem that traditional evaluation is highly subjective, and divides cold / hot executive function double-path training based on the CAPS theory, dynamically customizes task matching according to the subtypes, realizes accurate matching of defects and training, additionally, through real-time monitoring of
eye movement and physiological indexes, automatically adjusts task difficulty and feedback strategies, maintains the best challenge level, can effectively improve the participation and training continuity of children, and finally achieves the goal of high-efficiency, high-interest and side-effect-free personalized digital therapy.