| Literature DB >> 34510095 |
Marcus C Ng1, Jin Jing2, M Brandon Westover2.
Abstract
SUMMARY: As continuous brain monitoring becomes a routine part of clinical care, continuous EEG has allowed better detection and characterization of nonconvulsive seizures, and patterns along the ictal-interictal continuum in critically ill patients. However, this increased workload has led many to turn to quantitative EEG whose central tool is the "spectrogram." Although in relatively wide use, many clinicians lack a detailed understanding of how spectrograms relate to the underlying "raw" EEG signal. This article provides an approachable set of first principles to help clinicians understand how spectrograms encode information about the raw EEG and how to interpret spectrograms to efficiently infer underlying EEG patterns.Entities:
Mesh:
Year: 2022 PMID: 34510095 PMCID: PMC8901534 DOI: 10.1097/WNP.0000000000000736
Source DB: PubMed Journal: J Clin Neurophysiol ISSN: 0736-0258 Impact factor: 2.590