Early prediction of delayed cerebral ischemia in subarachnoid hemorrhage based on quantitative EEG: A prospective study in adults. Issue 8 (August 2015)

• Record Type: Journal Article
• Authors: Gollwitzer, S.; Groemer, T.; Rampp, S.; Hagge, M.; Olmes, D.; Huttner, H.B.; Schwab, S.; Madžar, D.; Hopfengaertner, R.; Hamer, H.M.
• Is Part Of: Clinical neurophysiology. Volume 126:Issue 8(2015:Aug.)
• Page Start: 1514
• Page End: 1523
• Publication Date: 2015-08
• Subjects: Neurophysiology -- Periodicals; Electroencephalography -- Periodicals; Electromyography -- Periodicals; Neurology -- Periodicals; 612.8
• DOI: 10.1016/j.clinph.2014.10.215
• Languages: English
• ISSNs: 1388-2457

Abstract

<abstract xml:lang="en" abstract-type="author-highlights" id="ab005"> <title id="st055">Highlights</title> <sec> <p id="sp0005"> <list id="l0005"> <list-item id="o0005"> <label></label> <p id="p0220">Our study introduces a new algorithm for the prediction of imminent ischemia after subarachnoid hemorrhage based on quantitative EEG monitoring.</p> </list-item> <list-item id="o0010"> <label></label> <p id="p0225">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.</p> </list-item> <list-item id="o0015"> <label></label> <p id="p0230">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.</p> </list-item> </list> </p> </sec> </abstract>