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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2022
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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 |
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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 |
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