scholarly journals Cycles of self‐reported seizure likelihood correspond to yield of diagnostic epilepsy monitoring

Epilepsia ◽  
2021 ◽  
Vol 62 (2) ◽  
pp. 416-425
Author(s):  
Philippa J. Karoly ◽  
Dominique Eden ◽  
Ewan S. Nurse ◽  
Mark J. Cook ◽  
Janelle Taylor ◽  
...  
Keyword(s):  
2010 ◽  
Vol 17 (2) ◽  
pp. 252-258 ◽  
Author(s):  
Dona E.C. Locke ◽  
Kristin A. Kirlin ◽  
Michael L. Thomas ◽  
David Osborne ◽  
Duane F. Hurst ◽  
...  

2009 ◽  
Vol 26 (4) ◽  
pp. 174-178 ◽  
Author(s):  
Finian M O'Brien ◽  
Norman Delanty ◽  
Catherine Dineen ◽  
Kieran C Murphy

AbstractObjectives: To examine the prevalence, psychiatric co-morbidity and management of psychogenic non-epileptic seizures (PNES) in patients admitted to a tertiary referral Epilepsy Monitoring Unit (EMU).Methods: Medical records of patients admitted to the EMU between 2003 and 2005 were examined and data from neurological, neuropsychiatric and neuropsychological assessments were analysed.Results: Over a three year period 224 patients were referred to the EMU and 44 (20%) were diagnosed with psychogenic non-epileptic seizures (PNES). A total of 13 people (6%) were diagnosed with both PNES and epilepsy. Of those diagnosed with PNES 34 (75%) were referred to psychology services for cognitive behavioural therapy (CBT) and 26 (58%) were followed-up by psychiatry services.Conclusions: The prevalence rates for PNES and co-existing PNES and epilepsy are consistent with previous reports. Rates of psychiatric co-morbidity were less than would be expected in this clinical population. Clear evidence-based guidelines to manage people with PNES are required.


2017 ◽  
Vol 2017 ◽  
pp. 1-18 ◽  
Author(s):  
Paula M. Vergara ◽  
Enrique de la Cal ◽  
José R. Villar ◽  
Víctor M. González ◽  
Javier Sedano

Epilepsy is a chronic neurological disorder with several different types of seizures, some of them characterized by involuntary recurrent convulsions, which have a great impact on the everyday life of the patients. Several solutions have been proposed in the literature to detect this type of seizures and to monitor the patient; however, these approaches lack in ergonomic issues and in the suitable integration with the health system. This research makes an in-depth analysis of the main factors that an epileptic detection and monitoring tool should accomplish. Furthermore, we introduce the architecture for a specific epilepsy detection and monitoring platform, fulfilling these factors. Special attention has been given to the part of the system the patient should wear, providing details of this part of the platform. Finally, a partial implementation has been deployed and several tests have been proposed and carried out in order to make some design decisions.


Author(s):  
Savanna M. Tierney ◽  
Troy A. Webber ◽  
Robert L. Collins ◽  
Vitor H. Pacheco ◽  
Jonathan M. Grabyan

2018 ◽  
Vol 89 ◽  
pp. 84-88 ◽  
Author(s):  
Kristen Malloy ◽  
Damon Cardenas ◽  
August Blackburn ◽  
Luke Whitmire ◽  
Jose E. Cavazos

2014 ◽  
Vol 27 (2) ◽  
pp. 213-218 ◽  
Author(s):  
Sylvain Rheims ◽  
Philippe Ryvlin
Keyword(s):  

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