Our seizure detection software software algorithm uses oculometric data (i.e, eye movements) to reliably detect a seizure. By employing machine learning capabilities, our software will also be able to predict when a seizure will occur. We expect our software to easily interface and/or integrate with consumer grade eye-tracking systems (eg. smart glasses) and therapeutic devices (eg. neuromodulation).
It is expected that all seizure types will be detected using a personalized solution for personalized treatments.
Potentially, there are several opportunities to help revolutionize epilepsy care:
We recently completed a 30 patient proof-of-concept study which resulted in robust seizure detection of the subtlest seizure type, absence seizures.