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A novel and accurate emotion recognition system for real-time and continuous pat...
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. Psyc...
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.
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Duración del proyecto: 24 meses
Fecha Inicio: 2023-10-19
Fecha Fin: 2025-10-31
Fecha Fin: 2025-10-31
Línea de financiación: concedida
El organismo HORIZON EUROPE notifico la concesión del proyecto el día 2023-10-19
Línea de financiación objetivo
El proyecto se financió a través de la siguiente ayuda:
HORIZON-EIC-2023-ACCELERATOROPEN-01:
EIC Accelerator Open 2023
Cerrada
hace 1 año
Presupuesto
El presupuesto total del proyecto asciende a
4M€
Líder del proyecto
CEPHALGO
No se ha especificado una descripción o un objeto social para esta compañía.
