Publicly funded research project
KIDD – AI-based diagnosis of depression
Study participants wanted!
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In cooperation with Heilbronn University of Applied Sciences (Hochschule Heilbronn) and the Praxis für Neurofeedback & Leistungsmedizin (practice for neurofeedback and performance medicine), we at brainboost support the research project:
Development of an AI neurodiagnostic system for depressive disorders
The aim of the project is to create the scientific basis for the development of an AI neurodiagnostic system based on electroencephalography (EEG) for the early and objectively confirmed diagnosis of depressive disorders.
The EEG measurements are to be analyzed with newly developed evaluation methods using machine learning, in order to obtain objective parameters for the quantitative assessment of depressive disorders.
This is intended to lay the foundation for earlier and better treatment options and for monitoring the treatment success of patients with depressive disorders.
You can find more details in our information sheet (in German). If you are interested, please feel free to contact us.
On request, you can also get a printout of your own “BrainMap” (a map of your brain activity) to take home.
About EEG and frequency bands (PDF, German)