الفهرس 
Title
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Abstract
Background: Long term video EEG monitoring (LVEM) is widely used for the diagnosis of patients with seizure disorders and seizures classification. Few studies have specifically evaluated the utility of Short term video EEG monitoring (SVEM) in altering diagnosis or management of patients with seizures disorders. Objectives: Is to assess the benefit of Short term Video Electroencephalogram Monitoring in the diagnosis and management of patients with paroxysmal disorders. Methods: SVEM was performed on eighty patients (48 males and 32 females) complaining from seizures disorders, with a mean age of 17.85 years and a mean recording time of 3 hours, the analysis include clinical history, interictal and ictal (semiology) data. Results: The first diagnostic event was recorded in 21 of 80 patients (26.2%) within the first hour of monitoring: psychogenic non-epileptic seizures (PNES) (n=7) and epileptic(n=14). The provisional diagnosis was changed in 50 patients (62.5%) with the greatest percent of change in PNES(250%). The diagnostic yield of SVEM in patients with seizure attacks is 17.5 % (95% CI 9.91% to 27.62%)