Real-Time Seizure Detection Using Behind-the-Ear Wearable System

Jamie Lehnen, Pooja Venkatesh, Zhuoran Yao, Abdul Aziz, Phuc V.P. Nguyen, Jay Harvey, Sasha Alick-Lindstrom, Alex Doyle, Irina Podkorytova, Ghazala Perven, Ryan Hays, Rodrigo Zepeda, Rohit Das, Kan Ding

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

Introduction: This study examines the usability and comfort of a behind-the-ear seizure detection device called brain seizure detection (BrainSD) that captures ictal electroencephalogram (EEG) data using four scalp electrodes. Methods: This is a feasibility study. Thirty-two patients admitted to a level 4 Epilepsy Monitoring Unit were enrolled. The subjects wore BrainSD and the standard 21-channel video-EEG simultaneously. Epileptologists analyzed the EEG signals collected by BrainSD and validated it using video-EEG data to confirm its accuracy. A poststudy survey was completed by each participant to evaluate the comfort and usability of the device. In addition, a focus group of UT Southwestern epileptologists was held to discuss the features they would like to see in a home EEG-based seizure detection device such as BrainSD. Results: In total, BrainSD captured 11 of the 14 seizures that occurred while the device was being worn. All 11 seizures captured on BrainSD had focal onset, with three becoming bilateral tonic-clonic and one seizure being of subclinical status. The device was worn for an average of 41 hours. The poststudy survey showed that most users found the device comfortable, easy-to-use, and stated they would be interested in using BrainSD. Epileptologists in the focus group expressed a similar interest in BrainSD. Conclusions: Brain seizure detection is able to detect EEG signals using four behind-the-ear electrodes. Its comfort, ease-of-use, and ability to detect numerous types of seizures make BrainSD an acceptable at-home EEG detection device from both the patient and provider perspective.

Original languageEnglish (US)
Pages (from-to)118-125
Number of pages8
JournalJournal of Clinical Neurophysiology
Volume42
Issue number2
DOIs
StatePublished - Feb 1 2025

Keywords

  • Epilepsy
  • Seizure detection
  • Wearable device

ASJC Scopus subject areas

  • Physiology
  • Neurology
  • Clinical Neurology
  • Physiology (medical)

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