The application provides a kind of affected side spatial stratification activation and multi-
modal unilateral spatial
neglect (USN) cognitive function evaluation and training intelligent
system, aiming at solving the pain points such as low efficiency of evaluation, training homogeneity, effect difficult to transfer in USN patient
rehabilitation, and building a whole-process intelligent
rehabilitation system of "accurate evaluation-personalized training-dynamic optimization-effect transfer". Through the combination of rapid quantitative
evaluation system, behavior data and electroencephalogram
signal, the objective grading of USN severity is realized, which gets rid of artificial dependence and greatly improves the evaluation efficiency and accuracy; through the whole-process automatic operation and
machine learning self-
adaptive optimization, the operation cost of clinical personnel is reduced, the
rehabilitation effect is traceable and evaluable, and an accurate and personalized intelligent rehabilitation
system is built, which provides a whole-process solution for USN patients and has important significance for promoting the intelligent development of post-
stroke neurological dysfunction rehabilitation.