Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/216398
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dc.contributor.authorVeciana de las Heras, Misericordia-
dc.contributor.authorSala Padro, Jacint-
dc.contributor.authorPedro Perez, Jordi-
dc.contributor.authorGarcía Parra, Beliu-
dc.contributor.authorHernández Pérez, Guillermo-
dc.contributor.authorFalip, Merce-
dc.date.accessioned2024-11-12T12:36:01Z-
dc.date.available2024-11-12T12:36:01Z-
dc.date.issued2024-09-20-
dc.identifier.issn2076-3425-
dc.identifier.urihttps://hdl.handle.net/2445/216398-
dc.description.abstractThe electroencephalogram (EEG) is a cornerstone tool for the diagnosis, management, and prognosis of selected patient populations. EEGs offer significant advantages such as high temporal resolution, real-time cortical function assessment, and bedside usability. The quantitative EEG (qEEG) added the possibility of long recordings being processed in a compressive manner, making EEG revision more efficient for experienced users, and more friendly for new ones. Recent advancements in commercially available software, such as Persyst, have significantly expanded and facilitated the use of qEEGs, marking the beginning of a new era in its application. As a result, there has been a notable increase in the practical, real-world utilization of qEEGs in recent years. This paper aims to provide an overview of the current applications of qEEGs in daily neurological emergencies and ICU practice, and some elementary principles of qEEGs using Persyst software in clinical settings. This article illustrates basic qEEG patterns encountered in critical care and adopts the new terminology proposed for spectrogram reporting.-
dc.format.extent24 p.-
dc.format.mimetypeapplication/pdf-
dc.language.isoeng-
dc.publisherMDPI AG-
dc.relation.isformatofReproducció del document publicat a: https://doi.org/10.3390/brainsci14090939-
dc.relation.ispartofBrain Sciences, 2024, vol. 14, num. 9, p. 939-
dc.relation.urihttps://doi.org/10.3390/brainsci14090939-
dc.rightscc by (c) Veciana de las Heras, Misericordia et al., 2024-
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.sourceArticles publicats en revistes (Institut d'lnvestigació Biomèdica de Bellvitge (IDIBELL))-
dc.subject.classificationElectroencefalografia-
dc.subject.classificationMedicina intensiva-
dc.subject.otherElectroencephalography-
dc.subject.otherCritical care medicine-
dc.titleUtility of Quantitative EEG in Neurological Emergencies and ICU Clinical Practice-
dc.typeinfo:eu-repo/semantics/article-
dc.typeinfo:eu-repo/semantics/publishedVersion-
dc.date.updated2024-10-17T10:29:58Z-
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess-
dc.identifier.pmid39335433-
Appears in Collections:Articles publicats en revistes (Institut d'lnvestigació Biomèdica de Bellvitge (IDIBELL))

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