A Wireless EEG Patch for Continuous Electrographic Monitoring
2 other identifiers
interventional
750
1 country
3
Brief Summary
This proposal will evaluate an individual-use, patch-type telemetry device for simplified, single-channel EEG recording from human patients along-side the traditional in hospital wired EEG.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable
Started May 2018
Longer than P75 for not_applicable
3 active sites
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
May 8, 2018
CompletedFirst Submitted
Initial submission to the registry
June 28, 2018
CompletedFirst Posted
Study publicly available on registry
July 12, 2018
CompletedPrimary Completion
Last participant's last visit for primary outcome
April 30, 2026
CompletedStudy Completion
Last participant's last visit for all outcomes
April 30, 2026
CompletedFebruary 16, 2024
February 1, 2024
8 years
June 28, 2018
February 15, 2024
Conditions
Outcome Measures
Primary Outcomes (4)
Single channel EEG coherence
Patient events noted in wired EEG will be measured against physician identified events in single channel EEG
Through study completion
Sensitivity and specificity for retrospect seizure detection
The initial Phase of this program is the development and FDA clearance of an automated seizure detection system through a participants personal mobile device.
Through Phase I completion, 2 years
Sensitivity and specificity for prospective seizure alerting
The second Phase of this program is to create a real-time automated seizure alerting system for both a participants personal mobile device as well as a caregiver/parent's personal mobile device.
Through study completion, 5 years
Sensitivity and specificity fro prospective seizure forecasting
The final Phase of this program is to create an hourly seizure prediction system that provides the participant with a probability of having an electrographic seizure based on physiological, psychological, behavioral, and environmental input.
Through study completion, 5 years
Study Arms (1)
Entire Study
EXPERIMENTALEach patient is eligible for all interventions in the study.
Interventions
Participants will be interacting with a mobile app to input perceived behavioral (e.g., number of hours slept and sleepiness) and psychological (perceived stress).
The combination of Epilog (device) and the Aura app (psychological and behavioral interaction) will be used to create a real-time seizure alerting and an hourly seizure forecasting system.
Eligibility Criteria
You may qualify if:
- Previous diagnosis of Epilepsy or other seizure disorder
- Admitted for scheduled EEG testing with a minimum of overnight (24 hour) EEG
- years of age through adult
You may not qualify if:
- Known or suspected allergy to adhesives
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Epitel, Inc.lead
- Boston Children's Hospitalcollaborator
- National Institute of Neurological Disorders and Stroke (NINDS)collaborator
- NYU Langone Healthcollaborator
- University of Colorado, Denvercollaborator
Study Sites (3)
University of Colorado Anschutz Medical Center
Aurora, Colorado, 80045, United States
Boston Children's Hospital
Boston, Massachusetts, 02115, United States
New York University Langone Medical Center
New York, New York, 100160000, United States
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NA
- Masking
- NONE
- Purpose
- DIAGNOSTIC
- Intervention Model
- SINGLE GROUP
- Sponsor Type
- INDUSTRY
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
June 28, 2018
First Posted
July 12, 2018
Study Start
May 8, 2018
Primary Completion
April 30, 2026
Study Completion
April 30, 2026
Last Updated
February 16, 2024
Record last verified: 2024-02
Data Sharing
- IPD Sharing
- Will not share