Nonconvulsive Seizure Identification on Quantitative EEG by Neuro ICU Nurses

Completed

Conditions studied: Nonconvulsive Seizures

In brief

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.

Key facts

Study ID
NCT02082873
Run by
Duke University
People needed
20
Starts
2015-01-01
Expected to finish
2019-02-01
Last updated by the study team
2019-05-17

Who can join

Age: 18 and older. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

You may not qualify if…

Where it is running

Full record on ClinicalTrials.gov

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