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Nonconvulsive Seizure Identification on Quantitative EEG by Neuro ICU Nurses

NCT02082873 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 20

Last updated 2019-05-17

No results posted yet for this study

Summary

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.

Conditions

  • Nonconvulsive Seizures

Sponsors & Collaborators

Principal Investigators

  • Christa Swisher, MD · Duke University

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2015-01-31
Primary Completion
2019-02-28
Completion
2019-02-28

Countries

  • United States

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT02082873 on ClinicalTrials.gov