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Automated seizure detection systems and their effectiveness for each type of seizure.
Ulate-Campos, A; Coughlin, F; Gaínza-Lein, M; Fernández, I Sánchez; Pearl, P L; Loddenkemper, T.
Afiliación
  • Ulate-Campos A; Department of Neurology, National Children's Hospital "Dr. Carlos Saenz Herrera", San José, Costa Rica. Electronic address: adrianaulate@hotmail.com.
  • Coughlin F; Division of Epilepsy and Clinical Neurophysiology, Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA. Electronic address: francesca.coughlin@childrens.harvard.edu.
  • Gaínza-Lein M; Division of Epilepsy and Clinical Neurophysiology, Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA; Universidad Austral de Chile, Valdivia, Chile. Electronic address: marina.gainzalein@childrens.harvard.edu.
  • Fernández IS; Division of Epilepsy and Clinical Neurophysiology, Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA; Department of Child Neurology, Hospital Sant Joan de Déu, Universidad de Barcelona, Spain. Electronic address: ivan.fernandez@childrens.harvard.edu.
  • Pearl PL; Division of Epilepsy and Clinical Neurophysiology, Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA. Electronic address: phillip.pearl@childrens.harvard.edu.
  • Loddenkemper T; Division of Epilepsy and Clinical Neurophysiology, Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA. Electronic address: tobias.loddenkemper@childrens.harvard.edu.
Seizure ; 40: 88-101, 2016 Aug.
Article en En | MEDLINE | ID: mdl-27376911
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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Convulsiones / Monitorización Neurofisiológica Tipo de estudio: Diagnostic_studies / Guideline / Prognostic_studies Límite: Humans Idioma: En Revista: Seizure Asunto de la revista: NEUROLOGIA Año: 2016 Tipo del documento: Article Pais de publicación: Reino Unido
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Convulsiones / Monitorización Neurofisiológica Tipo de estudio: Diagnostic_studies / Guideline / Prognostic_studies Límite: Humans Idioma: En Revista: Seizure Asunto de la revista: NEUROLOGIA Año: 2016 Tipo del documento: Article Pais de publicación: Reino Unido