Embrace’s seizure monitoring 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.
To learn more about the algorithm Embrace uses to detect unusual patterns in movement and physiological signals we recommend this article: Unusual event detection accuracy
We also encourage you to learn more about how the Embrace works.