Automatic classification of seizure adequacy in electroconvulsive therapy: A proof-of-concept study

Electroconvulsive therapy (ECT) is the most effective treatment of a range of severe mental dis-orders and is annually given to more than a million patients worldwide. Dosing of the electrical charge is critical for efficacy and side-effect burden; however, it is currently based on manual assessment of seizure quality and exhibits substantial clinical heterogeneity. Here, we collected 1,000 ECT session electroencephalograms (EEG) from 130 individual ECT patients and made an expert-level classification of the EEGs into actionable seizure quality categories (null-response [0], threshold [T], and

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