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

Objective

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 speech analysis & an AI-driven emotion recognition algorithm, our AI detects emotions with high accuracy & predicts the best treatment to reduce the trial & error approach currently employed in psychiatry.

Fields of science (EuroSciVoc)

Keywords

Programme(s)

Topic(s)

Funding Scheme

HORIZON-EIC-ACC-BF - HORIZON EIC Accelerator Blended Finance

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Call for proposal

(opens in new window) HORIZON-EIC-2023-ACCELERATOR-01

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Coordinator

CEPHALGO
Net EU contribution
€ 2 497 708,00
Address
8 RUE DES VEAUX
67000 Strasbourg
France
SME
Yes
Region
Grand Est Alsace Bas-Rhin
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Links
Total cost
€ 3 568 155,00