Computer-Assisted Ambulatory Electroencephalography

Author:

Tatum William O.

Abstract

AbstractThe usage of ambulatory electroencepholographic (EEG) monitoring has grown in popularity due to technological advances, including miniaturization and portability of smaller devices, accessibility and affordability, and similarities to inpatient video-EEG results. Ambulatory EEG is recorded in the patient’s environment and natural surroundings, which may serve as event triggers. Ambulatory EEG may be interpreted through secure wireless connections at sites distant from the hospital to enhance accessibility for interpretation. Prolonged recording increases the yield of capturing interictal epileptiform discharges or an event. Practical benefits include providing a definitive diagnosis, classification of seizure types or epilepsy syndromes, quantification of spike and seizure burdens including those experiencing seizures without self-awareness, and rarely to augment a presurgical evaluation in patients with drug-resistant focal epilepsy. Recording EEG through normal ultradian and circadian rhythms makes ambulatory EEG a logical choice compared with standard EEG; its prolonged recording may identify patient-specific patterns associated with sleep, menses, or other triggers. Ambulatory EEG may be used to evaluate response to antiseizure drug or assessing risk associated with a trial of medication withdrawal. Compared with inpatient video-EEG, ambulatory EEG is cost effective and easier to arrange with busy schedules. Currently ambulatory EEG is coupled with seizure and spike detection algorithms for assessment of prolonged time. Chronic intracranial ambulatory EEG is being evaluated coupled with responsive neuromodulation. Future attempts to provide diagnostic ambulatory EEG monitoring with therapy is emerging; efforts to move toward mobile health are ongoing. This chapter focuses on diagnostic applications of ambulatory EEG in patients suspected of epilepsy.

Publisher

Oxford University PressNew York

Reference62 articles.

1. Guideline Twelve: Guidelines for Long-Term Monitoring for Epilepsy.;Journal of Clinical Neurophysiology,2008

2. The value of long-term EEG monitoring in children: a comparison of ambulatory EEG and video telemetry.;Seizure,2014

3. The differential diagnosis of epilepsy: a critical review.;Epilepsy & Behavior,2009

4. What type of EEG (or EEG-video) does your patient need?;Expert Review of Neurotherapeutics,2015

5. Short-term outpatient EEG video with induction in the diagnosis of psychogenic seizures.;Neurology,2004

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