Assessment of Remote EEG Monitoring (REMI-EEG) in Pediatric Emergency and Adult Critical Care Units
The goal of this observational study is to compare clinical utility between Remote EEG Monitoring (REMI) and conventional EEG in patients (6 and older) that are undergoing EEG recording in a hospital as part of their routine clinical care. The main question[s] it aims to answer are:
- What is the concurrence of diagnosis made by epileptologist using REMI and full-EEG signals.
- What is the proportion of participants experiencing as seizure at the time of sensor placement, compared between REMI sensor placement and full-EEG placement.
Participants will wear REMI and conventional EEG electrodes at the same time.
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
Epitel has developed Epilog, a wireless wearable EEG sensor capable of transmitting EEG to a recording, display, and review platform called REMI (Remote EEG Monitoring). Epitel's REMI platform consists of the REMI tablet and four Epilog sensors. The REMI tablet requires connection to secure WiFi access, and Emergency Department and Intensive Critical Care's IT to open access to http://remi.epitel.com. The four epilog sensors communicate directly with the REMI tablet via Bluetooth connection. REMI synchronizes four Epilog sensors placed by hospital Emergency Department (ED) or intensive care unit (ICU) staff within minutes of patient arrival, thus allowing patients who are suspected of having encephalopathy to be evaluated quickly and prior to initial treatment. REMI securely transmits EEG data to its cloud server where data are processed in near real time using Persyst® Mobile software. Data can then be remotely reviewed by clinical team members.
The objective of this protocol is to demonstrate clinical utility of the Epilog EEG sensors with the REMI monitoring platform in children age 6 through adults in the pediatric emergency department and neurocritical care unit, respectively. Patients meeting entry criteria will be enrolled by a bedside clinical team member who is trained in Epilog sensor placement and use of the REMI platform. All participants will have four Epilog sensors placed, in addition to the standard of care full-EEG. The bedside clinician will be asked to make a "baseline" diagnosis based only on the clinical symptoms.
Study Type
Study Type
Enrollment (Estimated)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Locations
-
-
Utah
-
Salt Lake City, Utah, United States, 84132
- University of Utah
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Child
- Adult
- Older Adult
Accepts Healthy Volunteers
Study Population
Description
Inclusion Criteria:
- Clinical EEG has been ordered for suspected seizures
- Age 6 years or older
Exclusion Criteria:
- Cannot undergo EEG recordings because of severe head or other injury that prevents EEG recording.
- Transferred immediately for an operation
- Hemodynamically unstable (SBP less than 90 mmHg) at time of EEG placement
- Inability to place four REMI EEG sensors.
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Diagnostic
- Allocation: N/A
- Interventional Model: Single Group Assignment
- Masking: None (Open Label)
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
Other: REMI vs Conventional EEG
REMI EEG is as Diagnostically useful as conventional EEG at monitoring patients with suspected seizure events.
|
Diagnostic monitoring
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Comparison of clinician's diagnostic impression between REMI and conventional electroencephalograph data.
Time Frame: Through the length of time that a patient is actively monitored using both REMI and a full electroencephalograph (up to 24 hours).
|
Concurrence of diagnosis made by epileptologist using REMI and full electroencephalograph signals.
(I.e., a comparative count of seizure activity identified by an epileptologist using REMI EEG and using conventional EEG.)
|
Through the length of time that a patient is actively monitored using both REMI and a full electroencephalograph (up to 24 hours).
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Comparison of time to identify epileptiform EEG signals between REMI and conventional electroencephalograph data.
Time Frame: Time Frame: Through the time of sensor placement for both REMI sensors and a full electroencephalograph (approximately up to one hour).
|
Proportion of participants seizing at the time of sensor placement, compared between REMI sensor placement and full electroencephalograph placement.
(I.e., a count of seizure activity identified by an epileptologist using REMI EEG before conventional EEG is connected.)
|
Time Frame: Through the time of sensor placement for both REMI sensors and a full electroencephalograph (approximately up to one hour).
|
Collaborators and Investigators
Sponsor
Sponsor
Investigators
Investigators
- Principal Investigator: Maija Holsti, MD, MPH, University of Utah
- Principal Investigator: Amir M Arain, MD, MPH, University of Utah
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Estimated)
Primary Completion
Study Completion (Estimated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Estimated)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- EpitelUtah22
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
Epitel will make this highly-valuable data set available to the wider academic community. This could be done by posting appropriate data on the Epilepsy Ecosystem website: https://www.epilepsyecosystem.org/
All data collection is performed using the same Epilog Data Dictionary across clinical sites. Each PI and Study Coordinator is trained on the data dictionary reporting. This dictionary follows the Common Data Elements for Epilepsy Mobile Health Systems for which Epitel was a contributing member. The common data elements are meant to standardize to the extent possible all data collection, reporting, and analysis in the epilepsy mobile health space.
IPD Sharing Time Frame
IPD Sharing Access Criteria
IPD Sharing Supporting Information Type
- STUDY_PROTOCOL
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
product manufactured in and exported from the U.S.
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