Seizure detection with automated EEG analysis: a validation study focusing on periodic patterns.
Clin Neurophysiol
; 126(3): 456-62, 2015 Mar.
Article
em En
| MEDLINE
| ID: mdl-25046981
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.Palavras-chave
Texto completo:
1
Bases de dados:
MEDLINE
Assunto principal:
Convulsões
/
Córtex Cerebral
/
Eletroencefalografia
Tipo de estudo:
Diagnostic_studies
Limite:
Adolescent
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Adult
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Aged
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Aged80
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Child
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Child, preschool
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Female
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Humans
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Male
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Middle aged
Idioma:
En
Revista:
Clin Neurophysiol
Assunto da revista:
NEUROLOGIA
/
PSICOFISIOLOGIA
Ano de publicação:
2015
Tipo de documento:
Article
País de afiliação:
Suíça