Literature DB >> 27376911

Automated seizure detection systems and their effectiveness for each type of seizure.

A Ulate-Campos1, F Coughlin2, M Gaínza-Lein3, I Sánchez Fernández4, P L Pearl5, T Loddenkemper6.   

Abstract

Epilepsy affects almost 1% of the population and most of the approximately 20-30% of patients with refractory epilepsy have one or more seizures per month. Seizure detection devices allow an objective assessment of seizure frequency and a treatment tailored to the individual patient. A rapid recognition and treatment of seizures through closed-loop systems could potentially decrease morbidity and mortality in epilepsy. However, no single detection device can detect all seizure types. Therefore, the choice of a seizure detection device should consider the patient-specific seizure semiologies. This review of the literature evaluates seizure detection devices and their effectiveness for different seizure types. Our aim is to summarize current evidence, offer suggestions on how to select the most suitable seizure detection device for each patient and provide guidance to physicians, families and researchers when choosing or designing seizure detection devices. Further, this review will guide future prospective validation studies.
Copyright © 2016. Published by Elsevier Ltd.

Entities:  

Keywords:  Automated seizure detection; Epilepsy; Intractable epilepsy; SUDEP; Seizure alarms; Seizure prediction sensors

Mesh:

Year:  2016        PMID: 27376911     DOI: 10.1016/j.seizure.2016.06.008

Source DB:  PubMed          Journal:  Seizure        ISSN: 1059-1311            Impact factor:   3.184


  30 in total

Review 1.  Seizure detection: do current devices work? And when can they be useful?

Authors:  Xiuhe Zhao; Samden D Lhatoo
Journal:  Curr Neurol Neurosci Rep       Date:  2018-05-23       Impact factor: 5.081

2.  Summary of the 2016 Partners Against Mortality in Epilepsy (PAME) Conference.

Authors: 
Journal:  Epilepsy Curr       Date:  2016 Nov-Dec       Impact factor: 7.500

3.  Sounds of seizures.

Authors:  Jennifer Shum; Adam Fogarty; Patricia Dugan; Manisha G Holmes; Beth A Leeman-Markowski; Anli A Liu; Robert S Fisher; Daniel Friedman
Journal:  Seizure       Date:  2020-03-18       Impact factor: 3.184

4.  Digital Phenotyping in Clinical Neurology.

Authors:  Anoopum S Gupta
Journal:  Semin Neurol       Date:  2022-01-11       Impact factor: 3.212

5.  Seizure Detection Devices: Five New Things.

Authors:  Alexandra Carrick Atwood; Cornelia Natasha Drees
Journal:  Neurol Clin Pract       Date:  2021-10

6.  Devices for Ambulatory Monitoring of Sleep-Associated Disorders in Children with Neurological Diseases.

Authors:  Adriana Ulate-Campos; Melissa Tsuboyama; Tobias Loddenkemper
Journal:  Children (Basel)       Date:  2017-12-25

7.  Conscious control of breathing: A key to prevention of sudden unexpected death in epilepsy?

Authors:  Tobias Loddenkemper
Journal:  Ann Neurol       Date:  2018-03-10       Impact factor: 10.422

8.  Highlights From the Annual Meeting of the American Epilepsy Society 2018.

Authors:  Barbara C Jobst; Elinor Ben-Menachem; Kevin E Chapman; Aradia Fu; Alica Goldman; Lawrence J Hirsch; Lara E Jehi; Eric H Kossoff; Madona Plueger; Jong M Rho; Catherine A Schevon; Shlomo Shinnar; Michael R Sperling; Timothy A Simeone; Janelle L Wagner; Fred Lado
Journal:  Epilepsy Curr       Date:  2019-05-03       Impact factor: 7.500

Review 9.  Seizure Diaries and Forecasting With Wearables: Epilepsy Monitoring Outside the Clinic.

Authors:  Benjamin H Brinkmann; Philippa J Karoly; Ewan S Nurse; Sonya B Dumanis; Mona Nasseri; Pedro F Viana; Andreas Schulze-Bonhage; Dean R Freestone; Greg Worrell; Mark P Richardson; Mark J Cook
Journal:  Front Neurol       Date:  2021-07-13       Impact factor: 4.003

10.  Optical Flow Estimation Improves Automated Seizure Detection in Neonatal EEG.

Authors:  Joel R Martin; Paolo G Gabriel; Jeffrey J Gold; Richard Haas; Suzanne L Davis; David D Gonda; Cynthia Sharpe; Scott B Wilson; Nicolas C Nierenberg; Mark L Scheuer; Sonya G Wang
Journal:  J Clin Neurophysiol       Date:  2022-03-01       Impact factor: 2.590

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