Earbud EEG Feasibility Study

Completed

• Conditions: Sleep; Epilepsy; Seizure

• Registration Number: NCT05257811
• Lead Sponsor: NextSense, Inc.

Brief Summary

The goal of this study is to characterize the ability of the NextSense ear-EEG device to detect pathologic electrographic signatures of epilepsy and physiologic signatures of sleep in subjects undergoing simultaneous inpatient continuous EEG monitoring, polysomnography, or ambulatory EEG monitoring at home.

Detailed Description

For nearly half a century, conventional electroencephalography (EEG) has been the standard of care for monitoring cerebral activity, particularly in the clinical domains of epilepsy and sleep disorders. Standard EEG involves highly time, labor, and cost intensive processes and typically requires subjects to be monitored by specially trained staff in the inpatient setting. Existing ambulatory EEG options are limited to about 3 days in duration because of decline in electrode fidelity beyond that timeframe. There is a need for unobtrusive, easy to use, longitudinal monitoring solutions that can extend to the ambulatory setting.

This study will assess whether novel NextSense EEG Earbuds are able to 1) detect seizures of varying types/localizations as well as interictal epileptiform activity (IEA) waveforms compared to simultaneously recorded conventional scalp EEG, or in some cases, intracranial EEG; and 2) detect characteristic electrographic signatures of AASM defined sleep stages compared to simultaneously recorded polysomnography.

Study Timeline

• Study Start: 2019-09-01
• Study First Submitted: 2022-02-05
• Study First Submitted QC: 2022-02-16
• Study First Posted: 2022-02-25
• Primary Completion: 2022-08-25
• Study Completion: 2022-08-25
• Status Verified: 2023-11
• Last Update Submitted: 2023-11-06
• Last Update Posted: 2023-11-08

Recruitment & Eligibility

• Status: COMPLETED
• Sex: All
• Target Recruitment: 21

Inclusion Criteria

• All patients 18 years of age and older admitted to the Epilepsy Monitoring Unit at Emory University Hospital for long-term inpatient scalp or intracranial cEEG monitoring for diagnostic or pre-surgical evaluation, or patients 18 years and older admitted to the Emory Sleep Center at the Brain Health Center for polysomnography.
• To enhance the likelihood of having a sufficient number of enrolled subjects with an adequate number of seizures, investigators may identify patients more likely to have epileptic rather than non-epileptic seizures based on the medical history.
• All patients who are undergoing ambulatory EEG monitoring at home.

Exclusion Criteria

• Inability to safely tolerate earbuds (e.g. antecedent skin breakdown, recent injury to ear).
• Subjects who cannot have all 16 non-midline scalp EEG electrodes placed, since these EEG channels are required to accurately assess the performance of the seizure detection function.

Study & Design

• Study Type: OBSERVATIONAL
• Study Design: Not specified

Primary Outcome Measures

Name	Time	Method
Ease of use and tolerability validation of EEG earbuds for patients undergoing cEEG monitoring or polysomnography.	up to 2 weeks	Individual tolerance success will be the presence of an interpretable EEG record for at 18 hours a day, for at least three consecutive days. Overall tolerance will be a ≥ 75% ongoing participation rate, i.e. ≤ 25% study "drop-out" rate. Patients will be questioned about the reasons they felt the EEGBuds needed to be removed, in order to improve future tolerance.
Performance validation of EEG earbuds for patients undergoing cEEG monitoring or polysomnography	up to 2 weeks	Performance validation is measured as sensitivity (true positive) rate as defined as the total number of true detections divided by the total number of seizures; and specificity (false detection rate \[FDR\]) as defined as 24 x number of false detections divided by the total number of EEG hours, for each test subject. Detections will be classified as "true" or "false" based on majority rule by expert reviewers (classified by ≥ 2/3 of reviewers).; Criteria for Success: 1. ≥ 90% of EEG segments deemed "acceptable quality" by expert reviewers; 2. Overall seizure detection sensitivity of at least 90% and a mean FDR of no more than 5 per 24 hours; 3. Overall spike detection sensitivity of at least 90% and a mean FDR of no more than 3 per hour; 4. Overall focal slowing detection sensitivity of at least 75% and a mean FDR of no more than 3 per 24 hours (focal slowing is traditionally more difficult to ascertain so criteria will be slightly less stringent)

Trial Locations

Locations (1)

Emory University; 🇺🇸 Atlanta, Georgia, United States