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Non-electroencephalography-based seizure detection

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Purpose of reviewThere is need for automated seizure detection using mobile or wearable devices, for objective seizure documentation and decreasing morbidity and mortality associated with seizures. Due to technological development, a high number of articles have addressed non-electroencephalography (EEG)-based seizure detection. However, the quality of study-design and reporting is extremely heterogeneous. We aimed at giving the reader a clear picture on the current state of seizure detection, describing the level of evidence behind the various devices.Recent findingsFifteen studies of phase-2 or above, demonstrated that non-EEG-based devices detected generalized tonic-clonic seizures (GTCS) with high sensitivity (≥90%) and low false alarm rate (FAR) (down to 0.2/day). We found limited evidence for detection of motor seizures other than GTCS, mostly from subgroups in larger studies, targeting GTCS. There is little evidence for non-EEG-based detection of nonmotor seizures: sensitivity is low (19-74%) with extremely high FAR (50-216/day).SummaryDetection of GTCS is reliable and there are several, validated devices on the market. However, detection of other seizure types needs further research.

Original languageEnglish
JournalCurrent Opinion in Neurology
Volume32
Issue2
Pages (from-to)198-204
Number of pages7
ISSN1350-7540
DOIs
Publication statusPublished - 1 Apr 2019

    Research areas

  • automated seizure detection, mobile health systems, wearable devices

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