Electroencephalography-based power spectra allow coma outcome prediction within 24 h of cardiac arrest.

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Title: Electroencephalography-based power spectra allow coma outcome prediction within 24 h of cardiac arrest.
Authors: Kustermann T; Laboratoire de Recherche en Neuroimagerie (LREN), University Hospital (CHUV) & University of Lausanne, Mont-Paisible 16, Lausanne, CH-1011, Switzerland. Electronic address: tfkustermann@gmail.com., Nguepnjo Nguissi NA; Laboratoire de Recherche en Neuroimagerie (LREN), University Hospital (CHUV) & University of Lausanne, Mont-Paisible 16, Lausanne, CH-1011, Switzerland., Pfeiffer C; Department of Psychology, University of Zürich, Binzmühlestrasse 14, CH-8050 Zürich, Switzerland., Haenggi M; Department of Intensive Care Medicine, Inselspital, Bern University Hospital, University of Bern, Freiburgstrasse 15, CH-3010 Bern, Switzerland., Kurmann R; Department of Neurology, Inselspital, Bern University Hospital, University of Bern, Freiburgstrasse 15, CH-3010 Bern, Switzerland., Zubler F; Department of Neurology, Inselspital, Bern University Hospital, University of Bern, Freiburgstrasse 15, CH-3010 Bern, Switzerland., Oddo M; Department of Intensive Care Medicine, University Hospital (CHUV) & University of Lausanne, Rue du Bugnon 21, CH-1011, Switzerland., Rossetti AO; Department of Neurology, University Hospital (CHUV) & University of Lausanne, Rue du Bugnon 21, CH-1011, Switzerland., De Lucia M; Laboratoire de Recherche en Neuroimagerie (LREN), University Hospital (CHUV) & University of Lausanne, Mont-Paisible 16, Lausanne, CH-1011, Switzerland.
Source: Resuscitation [Resuscitation] 2019 Sep; Vol. 142, pp. 162-167. Date of Electronic Publication: 2019 May 25.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Elsevier/north-Holland Biomedical Press Country of Publication: Ireland NLM ID: 0332173 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-1570 (Electronic) Linking ISSN: 03009572 NLM ISO Abbreviation: Resuscitation Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1873-1570
DOI:10.1016/j.resuscitation.2019.05.021