Wearable Reduced-Channel EEG System for Remote Seizure Monitoring

Area of Science:

• Neuroscience
• Medical Technology
• Epilepsy Research

Background:

• Epitel developed Epilog, a miniature, wireless, wearable electroencephalography (EEG) sensor.
• Four Epilog sensors form the Remote EEG Monitoring platform (REMI), providing 10 EEG channels for remote patient monitoring.
• REMI enables comprehensive EEG recordings administered by non-specialized personnel in various medical settings.

Purpose of the Study:

• To evaluate the accuracy of epileptologists in remotely reviewing 10-channel REMI montage EEG data.
• To assess the impact of seizure detection support software on review accuracy.
• To determine the clinical potential of wearable EEG sensors for remote epilepsy diagnosis.

Main Methods:

• Three epileptologists reviewed REMI montage data from 20 subjects wearing four Epilog sensors for up to 5 days.
• Subjects underwent concurrent traditional video-EEG in an epilepsy monitoring unit (EMU).
• Datasets were reviewed with and without automated seizure detection algorithm annotations.

Main Results:

• Blinded review of unannotated REMI EEG achieved 90% sensitivity and 90% specificity in detecting electrographic seizure activity.
• Consensus detection of individual focal onset seizures yielded 61% sensitivity and 80% precision without software support.
• Automated algorithm alone detected seizures with 90% sensitivity and a false alarm rate of 0.087 FP/h.

Conclusions:

• Epileptologists can accurately review EEG data from Epilog sensors in the REMI montage for remote patient monitoring.
• The study demonstrates the clinical utility of wearable EEG for identifying patients with electrographic seizures.
• Automated seizure detection software shows potential as clinical decision support, comparable to FDA-cleared systems.