Cargando…

Rapid Response EEG: Current State and Future Directions

PURPOSE OF REVIEW: To critically appraise the literature on the application, methods, and advances in emergency electroencephalography (EEG). RECENT FINDINGS: The development of rapid EEG (rEEG) technologies and other reduced montage approaches, along with advances in machine learning over the past...

Descripción completa

Detalles Bibliográficos
Autores principales: Davey, Zachary, Gupta, Pranjal Bodh, Li, David R., Nayak, Rahul Uday, Govindarajan, Prasanthi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9702853/
https://www.ncbi.nlm.nih.gov/pubmed/36434488
http://dx.doi.org/10.1007/s11910-022-01243-1
_version_ 1784839739832008704
author Davey, Zachary
Gupta, Pranjal Bodh
Li, David R.
Nayak, Rahul Uday
Govindarajan, Prasanthi
author_facet Davey, Zachary
Gupta, Pranjal Bodh
Li, David R.
Nayak, Rahul Uday
Govindarajan, Prasanthi
author_sort Davey, Zachary
collection PubMed
description PURPOSE OF REVIEW: To critically appraise the literature on the application, methods, and advances in emergency electroencephalography (EEG). RECENT FINDINGS: The development of rapid EEG (rEEG) technologies and other reduced montage approaches, along with advances in machine learning over the past decade, has increased the rate and access to EEG acquisition. These achievements have made EEG in the emergency setting a practical diagnostic technique for detecting seizures, suspected nonconvulsive status epilepticus (NCSE), altered mental status, stroke, and in the setting of sedation. SUMMARY: Growing evidence supports using EEG to expedite medical decision-making in the setting of suspected acute neurological injury. This review covers approaches to acquiring EEG in the emergency setting in the adult and pediatric populations. We also cover the clinical impact of this data, the time associated with emergency EEG, and the costs of acquiring EEG in these settings. Finally, we discuss the advances in artificial intelligence for rapid electrophysiological interpretation.
format Online
Article
Text
id pubmed-9702853
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Springer US
record_format MEDLINE/PubMed
spelling pubmed-97028532022-11-28 Rapid Response EEG: Current State and Future Directions Davey, Zachary Gupta, Pranjal Bodh Li, David R. Nayak, Rahul Uday Govindarajan, Prasanthi Curr Neurol Neurosci Rep Critical Care (S.A. Mayer, Section Editor) PURPOSE OF REVIEW: To critically appraise the literature on the application, methods, and advances in emergency electroencephalography (EEG). RECENT FINDINGS: The development of rapid EEG (rEEG) technologies and other reduced montage approaches, along with advances in machine learning over the past decade, has increased the rate and access to EEG acquisition. These achievements have made EEG in the emergency setting a practical diagnostic technique for detecting seizures, suspected nonconvulsive status epilepticus (NCSE), altered mental status, stroke, and in the setting of sedation. SUMMARY: Growing evidence supports using EEG to expedite medical decision-making in the setting of suspected acute neurological injury. This review covers approaches to acquiring EEG in the emergency setting in the adult and pediatric populations. We also cover the clinical impact of this data, the time associated with emergency EEG, and the costs of acquiring EEG in these settings. Finally, we discuss the advances in artificial intelligence for rapid electrophysiological interpretation. Springer US 2022-11-25 2022 /pmc/articles/PMC9702853/ /pubmed/36434488 http://dx.doi.org/10.1007/s11910-022-01243-1 Text en © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Critical Care (S.A. Mayer, Section Editor)
Davey, Zachary
Gupta, Pranjal Bodh
Li, David R.
Nayak, Rahul Uday
Govindarajan, Prasanthi
Rapid Response EEG: Current State and Future Directions
title Rapid Response EEG: Current State and Future Directions
title_full Rapid Response EEG: Current State and Future Directions
title_fullStr Rapid Response EEG: Current State and Future Directions
title_full_unstemmed Rapid Response EEG: Current State and Future Directions
title_short Rapid Response EEG: Current State and Future Directions
title_sort rapid response eeg: current state and future directions
topic Critical Care (S.A. Mayer, Section Editor)
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9702853/
https://www.ncbi.nlm.nih.gov/pubmed/36434488
http://dx.doi.org/10.1007/s11910-022-01243-1
work_keys_str_mv AT daveyzachary rapidresponseeegcurrentstateandfuturedirections
AT guptapranjalbodh rapidresponseeegcurrentstateandfuturedirections
AT lidavidr rapidresponseeegcurrentstateandfuturedirections
AT nayakrahuluday rapidresponseeegcurrentstateandfuturedirections
AT govindarajanprasanthi rapidresponseeegcurrentstateandfuturedirections