A novel and accurate emotion recognition system for real-time and continuous patient monitoring in psychiatry

150M people suffer from mental disorders in Europe & this number is sharply increasing.

There are not enough psychiatrists to cope with the situation: a psychiatrist sees 1,000 patients in sessions separated every 3-4 months.

Psychiatrists have no way to know if a patient's treatment is working and if there is any risk of relapse/suicide between sessions.

A patient's emotional status gives insights into treatment effectiveness and diagnosis of major depressive disorder, but there are no accurate tools to monitor emotions remotely and continuously.Cephalgo has solved this challenge & developed the first accurate, remote & continuous emotion tracker to monitor treatment effectiveness, and predict the best course of treatment for a given patient profile.

Combining electroencephalography (EEG), & an AI-driven emotion recognition algorithm, our device detects emotions with 88% accuracy & predicts the best treatment to reduce the trial & error approach currently employed in psychiatry.