Clinical electroencephalography for anesthesiologists: part I: background and basic signatures

PL Purdon, A Sampson, KJ Pavone, EN Brown - Anesthesiology, 2015 - pubs.asahq.org
The widely used electroencephalogram-based indices for depth-of-anesthesia monitoring
assume that the same index value defines the same level of unconsciousness for all …

Neurological prognostication of outcome in patients in coma after cardiac arrest

AO Rossetti, AA Rabinstein, M Oddo - The Lancet Neurology, 2016 - thelancet.com
Management of coma after cardiac arrest has improved during the past decade, allowing an
increasing proportion of patients to survive, thus prognostication has become an integral …

Sensitivity of quantitative EEG for seizure identification in the intensive care unit

HA Haider, R Esteller, CD Hahn, MB Westover… - Neurology, 2016 - AAN Enterprises
Objective: To evaluate the sensitivity of quantitative EEG (QEEG) for electrographic seizure
identification in the intensive care unit (ICU). Methods: Six-hour EEG epochs chosen from 15 …

Adult EEG

AM Feyissa, WO Tatum - Handbook of clinical neurology, 2019 - Elsevier
After more than 85 years of development and use in clinical practice, the
electroencephalogram (EEG) remains a dependable, inexpensive, and useful diagnostic …

Electroencephalography and delirium in the postoperative period

BJA Palanca, TS Wildes, YS Ju, S Ching… - BJA: British Journal of …, 2017 - academic.oup.com
Delirium commonly manifests in the postoperative period as a clinical syndrome resulting
from acute brain dysfunction or encephalopathy. Delirium is characterized by acute and …

Time‐dependent risk of seizures in critically ill patients on continuous electroencephalogram

AF Struck, G Osman, N Rampal, S Biswal… - Annals of …, 2017 - Wiley Online Library
Objective Find the optimal continuous electroencephalographic (CEEG) monitoring duration
for seizure detection in critically ill patients. Methods We analyzed prospective data from 665 …

[HTML][HTML] Deep learning for EEG-based prognostication after cardiac arrest: from current research to future clinical applications

F Zubler, A Tzovara - Frontiers in neurology, 2023 - frontiersin.org
Outcome prognostication in comatose patients after cardiac arrest (CA) remains to date a
challenge. The major determinant of clinical outcome is the post-hypoxic/ischemic …

Recent applications of quantitative electroencephalography in adult intensive care units: a comprehensive review

J Hwang, SM Cho, EK Ritzl - Journal of neurology, 2022 - Springer
Quantitative electroencephalography (qEEG) refers to the numerical analysis and/or visual
transformations of raw electroencephalography (EEG) signals. Evaluation of qEEG in …

Non-expert use of quantitative EEG displays for seizure identification in the adult neuro-intensive care unit

N Dericioglu, E Yetim, DF Bas, N Bilgen, G Caglar… - Epilepsy Research, 2015 - Elsevier
Video-EEG monitoring is the ultimate way to diagnose non-convulsive status epilepticus
(NCSE) in intensive care units (ICU). Usually EEG recordings are evaluated once a day by …

The use and yield of continuous EEG in critically ill patients: a comparative study of three centers

V Alvarez, AAR Ruiz, S LaRoche, LJ Hirsch… - Clinical …, 2017 - Elsevier
Abstract Objective Continuous EEG (cEEG) monitoring of critically ill patients has gained
widespread use, but there is substantial reported variability in its use. We analyzed cEEG …