Electroencephalography (EEG), as a convenient and non-invasive technique, is highly sensitive to brain function abnormalities and has been widely applied in the diagnosis and treatment of epilepsy and other neurological diseases (applied research in stroke field has a history of decades). In recent years, with the deepening of related research and rapid development of artificial intelligence technology, EEG has shown new potential in early diagnosis, disease monitoring and prognosis assessment of stroke. This review discusses the recent advance in EEG in evaluating the diagnosis, therapeutic efficacy, and prognoses of stroke in the last 5 years, so as to provide references for improving the diagnosies, treatments and prognoses of stroke patients.
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