Summary
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.
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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| Web resources: | https://cordis.europa.eu/project/id/190129251 |
| Start date: | 01-11-2023 |
| End date: | 31-10-2025 |
| Total budget - Public funding: | 3 568 155,00 Euro - 2 497 708,00 Euro |
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Original description
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.
Status
SIGNEDCall topic
HORIZON-EIC-2023-ACCELERATOROPEN-01Update Date
12-03-2024
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