Detecting and documenting epileptic seizures in daily life is fundamentally important for the individualised treatment of the affected person. Biosignals accurately recorded at the time of the seizure in day-to-day routine help to classify epileptic disorders, optimise drug dosage – or even support the development of early-warning systems. However, recording all the relevant parameters in mobile mode – without significantly restricting the person’s normal routine – presents a tremendous challenge.
The goal of the »MOND« project is to produce proof of concept for an AI-based sensor system for the automatic detection of epileptic seizures in daily life. Data will be recorded via a mobile sensor system worn on the ear, which in particular will make it possible to conduct a mobile electroencephalogram (EEG). An EEG shows the brain’s electrical activity – until now mostly by means of electrodes attached to the scalp.