Literature DB >> 20851054

Patient and caregiver perspectives on seizure prediction.

Susan Arthurs1, Hitten P Zaveri, Mark G Frei, Ivan Osorio.   

Abstract

One of the goals of the Fourth International Workshop on Seizure Prediction was to provide an opportunity for patients with epilepsy and their caregivers to voice their perspectives on seizure prediction and related matters toward the goal of influencing the design of solutions. In an attempt to fulfill this goal, a survey of patients and caregivers, who often make or influence patient choices, was conducted on issues pertaining to living with epilepsy, epilepsy treatments, seizure prediction, and the use of implantable devices for the control of seizures. The results of this survey are reported here.
Copyright © 2010 Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 20851054     DOI: 10.1016/j.yebeh.2010.08.010

Source DB:  PubMed          Journal:  Epilepsy Behav        ISSN: 1525-5050            Impact factor:   2.937


  7 in total

1.  Toward a noninvasive automatic seizure control system in rats with transcranial focal stimulations via tripolar concentric ring electrodes.

Authors:  Oleksandr Makeyev; Xiang Liu; Hiram Luna-Munguía; Gabriela Rogel-Salazar; Samuel Mucio-Ramirez; Yuhong Liu; Yan L Sun; Steven M Kay; Walter G Besio
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2012-07       Impact factor: 3.802

2.  Seizure Prediction 6: [LINE SEPARATOR]From Mechanisms to Engineered Interventions for Epilepsy.

Authors:  Bruce J Gluckman; Catherine A Schevon
Journal:  J Clin Neurophysiol       Date:  2015-06       Impact factor: 2.177

3.  'Whom will I give him to? The difficulty is mine' : Psychosocial difficulties experienced by care givers of patients with epilepsy in Cape Town, South Africa.

Authors:  Mpoe Johannah Keikelame; Leslie Swartz
Journal:  J Health Psychol       Date:  2016-07-10

4.  Seizure prediction in patients with mesial temporal lobe epilepsy using EEG measures of state similarity.

Authors:  Kais Gadhoumi; Jean-Marc Lina; Jean Gotman
Journal:  Clin Neurophysiol       Date:  2013-05-03       Impact factor: 3.708

5.  Identifying seizure risk factors: A comparison of sleep, weather, and temporal features using a Bayesian forecast.

Authors:  Daniel E Payne; Katrina L Dell; Phillipa J Karoly; Vaclav Kremen; Vaclav Gerla; Levin Kuhlmann; Gregory A Worrell; Mark J Cook; David B Grayden; Dean R Freestone
Journal:  Epilepsia       Date:  2020-12-30       Impact factor: 6.740

6.  Dynamic control of modeled tonic-clonic seizure states with closed-loop stimulation.

Authors:  Bryce Beverlin Ii; Theoden I Netoff
Journal:  Front Neural Circuits       Date:  2013-02-06       Impact factor: 3.492

7.  Forecasting Seizure Likelihood With Wearable Technology.

Authors:  Rachel E Stirling; David B Grayden; Wendyl D'Souza; Mark J Cook; Ewan Nurse; Dean R Freestone; Daniel E Payne; Benjamin H Brinkmann; Tal Pal Attia; Pedro F Viana; Mark P Richardson; Philippa J Karoly
Journal:  Front Neurol       Date:  2021-07-15       Impact factor: 4.003

  7 in total

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