Please cite this article in press as: Fürbass F, et al. Automatic detection of rhythmic and periodic patterns in criti- cal care EEG based on American Clinical Neurophysiology Society (ACNS) standardized terminology. Neurophysiologie Clinique/Clinical Neurophysiology (2015), http://dx.doi.org/10.1016/j.neucli.2015.08.001 ARTICLE IN PRESS +Model NEUCLI-2481; No. of Pages 11 Neurophysiologie Clinique/Clinical Neurophysiology (2015) xxx, xxx—xxx Disponible en ligne sur ScienceDirect www.sciencedirect.com ORIGINAL ARTICLE/ARTICLE ORIGINAL Automatic detection of rhythmic and periodic patterns in critical care EEG based on American Clinical Neurophysiology Society (ACNS) standardized terminology Détection automatique de patterns rythmiques et périodiques dans l’EEG de soins intensifs basée sur la terminologie standardisée de l’American Clinical Neurophysiology Society (ACNS) F. Fürbass a,* , M.M. Hartmann a , J.J. Halford b , J. Koren d , J. Herta c , A. Gruber c , C. Baumgartner d , T. Kluge a a Austrian Institute of Technology GmbH (AIT), Safety & Security Department, Vienna, Austria b Medical University of South Carolina, Comprehensive Epilepsy Center, Charleston, SC, USA c Medical University of Vienna, Department of Neurosurgery, Vienna, Austria d General Hospital Hietzing with Neurological Center Rosenhuegel, 2nd Neurological Department, Vienna, Austria Received 18 September 2014; accepted 5 August 2015 KEYWORDS ACNS ICU terminology; EEG; Automatic detection; Rhythmic and periodic patterns; Critical care Summary Aims of the study. — Continuous EEG from critical care patients needs to be evaluated time efficiently to maximize the treatment effect. A computational method will be presented that detects rhythmic and periodic patterns according to the critical care EEG terminology (CCET) of the American Clinical Neurophysiology Society (ACNS). The aim is to show that these detected patterns support EEG experts in writing neurophysiological reports. Materials and methods. — First of all, three case reports exemplify the evaluation procedure using graphically presented detections. Second, 187 hours of EEG from 10 critical care patients were used in a comparative trial study. For each patient the result of a review session using the EEG and the visualized pattern detections was compared to the original neurophysiology report. ∗ Corresponding author at: Austrian Institute of Technology (AIT), Donau-City-Straße 1, 1220 Vienna, Austria. Tel.: +43(0) 50550 4230; fax: +43(0) 50550 4125. E-mail address: franz.fuerbass@ait.ac.at (F. Fürbass). http://dx.doi.org/10.1016/j.neucli.2015.08.001 0987-7053/© 2015 Elsevier Masson SAS. All rights reserved.