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Abstract
Purpose The purpose of this study was to review seizure detection devices (SDDs) and their mechanisms of action and efficacy and to reflect on potential improvements for future devices.
Recent Findings There are 5 main categories of SDDs, these include EEG, heart rate detection (HR), electrodermal activity (EDA), motion detection, and EMG. These devices can be used in combination or in isolation to detect seizures. These devices are high in their sensitivity for convulsive seizures but are low in specificity because of a tendency to detect artifact. Overall, they perform poorly in identifying nonconvulsive seizures.
Summary SDDs are currently most useful in detecting convulsive seizures and thereby might help against sudden unexpected death in epilepsy, although they have a high false positive rate. These devices are much less adept at detecting more clinically subtle seizures.
Footnotes
Funding information and disclosures are provided at the end of the article. Full disclosure form information provided by the authors is available with the full text of this article at Neurology.org/cp.
↵* These authors contributed equally to this work.
- Received September 11, 2020.
- Accepted December 15, 2020.
- © 2021 American Academy of Neurology
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