Literature DB >> 28187794

Continuous EEG monitoring in the intensive care unit.

G B Young1, J Mantia2.   

Abstract

The purpose and indications for continuous electroencephalography monitoring (CEEG) in intensive care unit (ICU) patients include seizure detection, monitoring the effects of treatment (including depth of sedation), grading and classification of EEG abnormalities, ischemia detection and prognostication. Practical considerations of ICU CEEG include: choice of montages (patterns of electrode placement and connections), EEG electrodes, recognition of artifacts, and the use of automated or computerized analysis. These aspects are reviewed, along with an identifcation of current advances and challenges for the future of CEEG in the ICU.
© 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  ICU; computerized EEG; continuous EEG monitoring; electrodes; indications; montages

Mesh:

Year:  2017        PMID: 28187794     DOI: 10.1016/B978-0-444-63600-3.00007-6

Source DB:  PubMed          Journal:  Handb Clin Neurol        ISSN: 0072-9752


  5 in total

1.  Processed EEG monitoring in critical care: a black swan or a shining star?

Authors:  Francisco A Lobo; Chiara Robba; Massimo Lamperti; Stefano Romagnoli; Frank A Rasulo
Journal:  J Clin Monit Comput       Date:  2022-08-02       Impact factor: 1.977

2.  Mapping spreading depolarisations after traumatic brain injury: a pilot clinical study protocol.

Authors:  Samuel W Cramer; Isabela Peña Pino; Anant Naik; Danielle Carlson; Michael C Park; David P Darrow
Journal:  BMJ Open       Date:  2022-07-13       Impact factor: 3.006

3.  Quantitative EEG may predict weaning failure in ventilated patients on the neurological intensive care unit.

Authors:  Tamara M Welte; Maria Gabriel; Rüdiger Hopfengärtner; Stefan Rampp; Stephanie Gollwitzer; Johannes D Lang; Jenny Stritzelberger; Caroline Reindl; Dominik Madžar; Maximilian I Sprügel; Hagen B Huttner; Joji B Kuramatsu; Stefan Schwab; Hajo M Hamer
Journal:  Sci Rep       Date:  2022-05-04       Impact factor: 4.996

Review 4.  Moving the field forward: detection of epileptiform abnormalities on scalp electroencephalography using deep learning-clinical application perspectives.

Authors:  Mubeen Janmohamed; Duong Nhu; Levin Kuhlmann; Amanda Gilligan; Chang Wei Tan; Piero Perucca; Terence J O'Brien; Patrick Kwan
Journal:  Brain Commun       Date:  2022-08-29

5.  Artificial Intelligence Analysis of EEG Amplitude in Intensive Heart Care.

Authors:  Junjun Chen; Hong Pu; Dianrong Wang
Journal:  J Healthc Eng       Date:  2021-07-02       Impact factor: 2.682

  5 in total

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