The diagnosis of ADHD is often time-consuming, costly, and only possible once symptomatic behaviors have become established, which complicates early detection. Late diagnoses frequently lead to significant problems for school-aged children and can impair their development. Within the NESCADE project, an EEG-based screening procedure is being developed to enable early and objective detection of ADHD - for example, during routine U9 pediatric check-ups. The prototype under development will be based on the measurement of auditory evoked potentials using musical stimuli, a miniaturized recording device, and automated, AI-supported signal analysis. This method is particularly suitable for children of school-entry age as it requires no active cooperation. The goal is to create an innovative service tailored to the requirements of integration into routine care within pediatric practices. The focus lies on combining an EEG recording and presentation system with an AI-based analysis component into an overall system that is simple and intuitive to operate.
Partners
- neuroConn GmbH - Institut für Sozialforschung und Sozialwirtschaft - Universitätsklinikum des Saarlandes (Kinder- und Jugendpsychiatrie)
