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

Author:

Lehnen Jamie1,Venkatesh Pooja1,Yao Zhuoran1,Aziz Abdul2,Nguyen Phuc V.P.23,Harvey Jay1,Alick-Lindstrom Sasha1,Doyle Alex1,Podkorytova Irina1,Perven Ghazala1,Hays Ryan1,Zepeda Rodrigo1,Das Rohit R.1,Ding Kan1ORCID

Affiliation:

1. Department of Neurology, University of Texas Southwestern Medical Center, Dallas, TX;

2. Department of Computer Science and Engineering, University of Texas at Arlington, Arlington, TX; and

3. College of Information and Computer Science, University of Massachusets Amherst, Amherst, MA.

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.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Reference34 articles.

1. Seizures and epilepsy: an overview for neuroscientists;Stafstrom;Cold Spring Harb Perspect Med,2015

2. EEG seizure detection: concepts, techniques, challenges, and future trends. Multimed Tools Appl;Ein Shoka,2023

3. Epilepsy: a spectrum disorder;Sirven;Cold Spring Harb Perspect Med,2015

4. Recognizing and preventing epilepsy-related mortality: a call for action;Devinsky;Neurology,2016

5. Electrographic seizure monitoring with a novel, wireless, single-channel EEG sensor;Frankel;Clin Neurophysiol Pract,2021

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3