Seizure detection with automated EEG analysis: a validation study focusing on periodic patterns.

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Version: Author's accepted manuscript
Serval ID
serval:BIB_AC12E1AFF29D
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Seizure detection with automated EEG analysis: a validation study focusing on periodic patterns.
Journal
Clinical Neurophysiology
Author(s)
Sierra-Marcos A., Scheuer M.L., Rossetti A.O.
ISSN
1872-8952 (Electronic)
ISSN-L
1388-2457
Publication state
Published
Issued date
2015
Peer-reviewed
Oui
Volume
126
Number
3
Pages
456-462
Language
english
Notes
Publication types: Journal Article
Abstract
OBJECTIVE: To evaluate an automated seizure detection (ASD) algorithm in EEGs with periodic and other challenging patterns.
METHODS: Selected EEGs recorded in patients over 1year old were classified into four groups: A. Periodic lateralized epileptiform discharges (PLEDs) with intermixed electrical seizures. B. PLEDs without seizures. C. Electrical seizures and no PLEDs. D. No PLEDs or seizures. Recordings were analyzed by the Persyst P12 software, and compared to the raw EEG, interpreted by two experienced neurophysiologists; Positive percent agreement (PPA) and false-positive rates/hour (FPR) were calculated.
RESULTS: We assessed 98 recordings (Group A=21 patients; B=29, C=17, D=31). Total duration was 82.7h (median: 1h); containing 268 seizures. The software detected 204 (=76.1%) seizures; all ictal events were captured in 29/38 (76.3%) patients; in only in 3 (7.7%) no seizures were detected. Median PPA was 100% (range 0-100; interquartile range 50-100), and the median FPR 0/h (range 0-75.8; interquartile range 0-4.5); however, lower performances were seen in the groups containing periodic discharges.
CONCLUSION: This analysis provides data regarding the yield of the ASD in a particularly difficult subset of EEG recordings, showing that periodic discharges may bias the results.
SIGNIFICANCE: Ongoing refinements in this technique might enhance its utility and lead to a more extensive application.
Pubmed
Web of science
Open Access
Yes
Create date
11/02/2015 7:55
Last modification date
20/08/2019 15:16
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