Performance of Automated Detection Software in Absence Seizures

Le résumé fourni par la source

PURPOSE: Absence seizures are common in children with idiopathic generalized epilepsies. Identifying absence seizures in EEG using automated detection software offers potential efficiency gain. METHODS: This study assessed Persyst's performance in detecting absence seizures (≥3 seconds) in prolonged pediatric EEGs. Two detection modules were used: seizure detection (most sensitive settings) and spikeburst detection which detects 'bursts' of interictal epileptiform discharges (≥1 spike per second) with a minimal duration of 1, 2 or 3 seconds. RESULTS: Eighty-one EEG records from 69 patients were analyzed. Seizure detections sensitivity is 78%, spikebursts sensitivity is 95% (1 second), 77% (2 seconds) and 61% (3 seconds). Detection rate of both modules increased to 99% for absences lasting more than 9 seconds. Median false positive rates are 24 per 24 hours (range 0-60) for seizure detection and 23 (range 0-293), one (range 0-36) and zero (range 0-19) for the spikeburst module with duration of respectively 1, 2 or 3 seconds, primarily due to interictal discharges. CONCLUSION: Spikeburst module with a threshold duration of 2 seconds represents the most feasible compromise between sensitivity and clinical usability.

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