Automatic continuous EEG signal analysis for diagnosis of delirium in patients with sepsis.

Abstract Objective In critical care, continuous EEG (cEEG) monitoring is useful for delirium diagnosis. Although visual cEEG analysis is most commonly used, automatic cEEG analysis has shown promising results in small samples. Here we aimed to compare visual versus automatic cEEG analysis for delirium diagnosis in septic patients. Methods We obtained cEEG recordings from 102 septic patients who were scored for delirium six times daily. A total of 1252 cEEG blocks were visually analyzed, of which 805 blocks were also automatically analyzed. Results Automatic cEEG analyses revealed that delirium was associated with 1) high mean global field power (p  Conclusions Automatic cEEG analysis is a useful supplement to visual analysis, and provides additional cEEG diagnostic classifiers. Significance Automatic cEEG analysis provides useful information in septic patients.