Pediatric EEG Monitoring

Northwestern University30 enrolled

Overview

The purpose of this study is to understand if a new, smart, wireless EEG developed by our team can be used to monitor the continuous electrical activity of the brain in the ICU and EMU and whether it works as well as the current standard, wired EEGs.

The investigators propose to 1) optimize these devices for use in pediatric ICU patients, 2) demonstrate safety, reliability, and accuracy of these devices for continuous ICU EEG signal measurements, and 3) demonstrate these devices are preferred by patients and parents to current EEG devices. Once validated, such sensors could fundamentally change the way patients are monitored by EEG in the ICU, allowing wireless, continuous, real-time detection of brain wave activity in ICU patients, reducing limitations in mobility as well as access by staff and caregivers to the patient, and ultimately offering opportunity to reduce morbidity and mortality in ICU patients.

Study Type

OBSERVATIONAL

Enrollment

Conditions

Pediatric ALL Epilepsy

Interventions

wearable EEG sensorDEVICE

Wireless wearable EEG devices offer a new, non-invasive, and easy way of performing EEG monitoring.

Eligibility

Sex: ALLMin age: 1 DayMax age: 18 Years

Medical Language ↔ Plain English

Inclusion Criteria: * Participants must be admitted to the PICU or EMU at Lurie Children's and are prescribed an EEG as part of their standard of care. Exclusion Criteria: * Anyone with a skin abnormality that would potentially increase the risk of device use will be excluded. * Ages 18 years or older. * Any patient or family determined by an attending physician or bedside care team to be too unstable (patient) or experiencing too much stress (family) will not be approached for recruitment.

Locations (1)

Ann & Robert H. Lurie Children's Hospital of Chicago

Chicago, Illinois, United States

Outcomes

Primary Outcomes

Percent Agreement

Percent agreement between experimental sensor and commercially available electroencephalogram (EEG)

Time frame: 3 years

Data from ClinicalTrials.gov

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