The Application of Video Electroencephalogram in the Classification and Diagnosis of Post-Stroke Epilepsy

Abstract

Objective: To explore the value of video electroencephalogram in the classification and diagnosis of post-stroke epilepsy. Methods: The medical records of patients diagnosed with suspected post-stroke epilepsy in our hospital from November 2020 to November 2023 were retrospectively analyzed, and a total of 116 research subjects were included based on several inclusion and exclusion criteria. All patients had undergone video and conventional electroencephalogram. The detection of epileptic discharges and clinical symptoms by the two methods were evaluated, their diagnostic efficacies were compared, and the effect of video electroencephalography on post-stroke patients was analyzed. Classification of epilepsy. Results: The comprehensive clinical diagnosis conclusion showed that among 116 patients with suspected post-stroke epilepsy, a total of 64 cases were diagnosed. The diagnostic accuracy, specificity, and sensitivity of video electroencephalogram were significantly higher than those of conventional electroencephalogram. Besides, among the patients diagnosed with post-stroke epilepsy, the detection rate of epileptiform discharges and clinical seizures by video electroencephalogram was significantly higher than that of conventional electroencephalogram (P < 0.05). Among the clinical seizure cases detected by video electroencephalogram, only 6 cases were inconsistent with the epilepsy classification based on a comprehensive clinical diagnosis. Conclusion: Video electroencephalogram has important value in diagnosing and classifying post-stroke epilepsy.