Embrace’s seizure detection is based on an algorithm we’ve developed that is designed to recognize unusual movements, electrodermal activity variation and peripheral temperature.
Most devices on the market usually consider two threads of information: how strong and how long you’re moving. Instead Embrace takes into account additional variables, such as movement and electrodermal activity variations, that accompany tonic-clonic seizures. In addition, we created our algorithm using advanced machine learning methods, trained on data collected in epilepsy monitoring units in hospitals.
We’ve recently implemented the Rest Mode feature, which is designed to detect milder tonic-clonic seizures during periods of limited movement; for example, taking a nap, watching TV, reading a book, or sleeping.
To learn more about Embrace’s seizure detection algorithm we recommend this article: Seizure detection accuracy
We encourage you to learn more about how the Embrace works.