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PubMed · 1717237

Computerized seizure detection of complex partial seizures.

A M Murro·D W King·J R Smith·B B Gallagher·H F Flanigin·K Meador
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Abstract

In this study, we describe a computerized method that uses 3 quantified EEG features and discriminant analysis to automatically detect seizure EEG. The quantified EEG features were relative amplitude, dominant frequency and rhythmicity. Using EEGs recorded from intracranial electrodes, the seizure detection method was applied to consecutive non-overlapping 2-channel EEG epochs. A seizure detection sensitivity, ranging from 90% to 100%, was associated with a false positive detection rate of 1.5-2.5/h. The performance of the seizure detection method remained stable for EEG recorded over variable time periods.

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Discriminant AnalysisElectroencephalographyEpilepsy, Complex PartialFourier AnalysisHumansSeizuresSignal Processing, Computer-AssistedJournal Article

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A M Murro, D W King, J R Smith, B B Gallagher, H F Flanigin, K Meador. 1991. Computerized seizure detection of complex partial seizures.. https://doi.org/10.1016/0013-4694(91)90128-q

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