Early prediction of delayed cerebral ischemia in subarachnoid hemorrhage based on quantitative EEG: A prospective study in adults

Highlights • Our study introduces a new algorithm for the prediction of imminent ischemia after subarachnoid hemorrhage based on quantitative EEG monitoring. • We developed an automated technique that does not require the presence of an EEG expert to preselect or analyze raw EEG data and is therefore suitable for everyday usage by ICU staff. • Our method indicated imminent ischemia earlier than established diagnostics such as transcranial Doppler sonography or imaging and could therefore trigger intervention early enough to prevent infarction.