Key result
Non-EEG-based devices detected generalized tonic-clonic seizures with high sensitivity (≥90%) and low false alarm rates, but evidence for other seizure types remains limited.
Why the study?
Automated seizure detection using mobile or wearable devices is needed to objectively document seizures and reduce associated morbidity and mortality, but study design and reporting quality remain heterogeneous.
Are non-EEG-based mobile or wearable devices effective and reliable for detecting various types of seizures?
Are non-EEG-based mobile or wearable devices effective and reliable for detecting various types of seizures?
Non-EEG-based wearable devices are reliable for detecting generalized tonic-clonic seizures but currently lack sufficient sensitivity and specificity for other seizure types.
May aid GTCS monitoring; leaves open reliable detection of other seizure types pending prospective validation.
PURPOSE OF REVIEW: There 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 FINDINGS: Fifteen 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). SUMMARY: Detection of GTCS is reliable and there are several, validated devices on the market. However, detection of other seizure types needs further research.
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Beniczky et al. (2019) conducted a review in Seizures. Non-electroencephalography (EEG)-based seizure detection devices was evaluated on Detection of generalized tonic-clonic seizures (GTCS). Non-EEG-based devices detected generalized tonic-clonic seizures with high sensitivity (≥90%) and low false alarm rates, but evidence for other seizure types remains limited.
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