ClinicalTrials.gov
public full text
Public Domain
Nonconvulsive Seizure Identification on Quantitative EEG by Neuro ICU Nurses
This research is being conducted to determine if Neuroscience intensive care unit (ICU) nurses are able to identify seizures by reviewing quantitative EEG (qEEG) that is running at the bedside. QEEG is the application of mathematical and analytical techniques to analyze EEG signals. Several hours of data can be displayed on a single screen in several graphical panels. Routine evaluation of EEG data consists of manual inspection of each page of EEG data by a trained neurophysiologist (a neuro ICU doctor) and can be quite time-consuming. In most cases, this data can only be reviewed intermittently and interpretation is almost always relayed to the primary clinical team after the seizures have occurred. Theoretically,qEEG graphical displays can provide a simplified view of complex EEG data that could possibly be used by non-neurophysiologists, such as Neuro ICU nurses. Our hypothesis is that Neuro ICU nurses are able to accurately identify recurrent seizures in real-time.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- AI-assisted cEEG Diagnosis of Neonatal Seizures in Neonatal Intensive Care Unit#1151886
- Automated classification of seizure onset pattern using intracranial electroencephalogram signal of non-human primates.#360860
- Seizure detection using hierarchical temporal trend integration and self-supervised learning.#469310
- Brain Activity During Production of Movement#1007218
- Search for a Recanalization of the Sylvian Artery Electro-Physiological Biomarker#1103671
Record · ID 1137709
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive