436. Machine-Learning Based Seizure Prediction and Digital Bio-Signal Analysis of ECT Seizures

The scientific understanding of electroconvulsive therapy (ECT) and its therapeutic procedures are largely based on pre-calculated EEG seizure parameters and pre-post treatment indices. Analysing data from the GENET collaboration using bio-signal-analysis and artificial intelligence methods, we present innovative approaches to determine seizure probability and quality indices in ECT seizures.