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

Highlights • Patient specific algorithms are crucial for achieving accurate detection devices. • Multimodal detection systems are needed to meet the requirements of seizure detection. • Closed-loop systems are recommended because they provide active feedback. • The systems will improve as informatio...

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Veröffentlicht in:	Seizure (London, England) England), 2016-08, Vol.40, p.88-101
Hauptverfasser:	Ulate-Campos, A, Coughlin, F, Lein, M Gaínza, Fernández, I Sánchez, Pearl, P.L, Loddenkemper, T
Format:	Artikel
Sprache:	eng
Schlagworte:	Automated seizure detection Epilepsy Humans Intractable epilepsy Neurology Neurophysiological Monitoring - instrumentation Neurophysiological Monitoring - methods Seizure alarms Seizure prediction sensors Seizures - classification Seizures - diagnosis SUDEP
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Beschreibung
Zusammenfassung:	Highlights • Patient specific algorithms are crucial for achieving accurate detection devices. • Multimodal detection systems are needed to meet the requirements of seizure detection. • Closed-loop systems are recommended because they provide active feedback. • The systems will improve as information from different patients accumulates. • A proposal of seizure detection devices for each seizure type is made.
ISSN:	1059-1311 1532-2688
DOI:	10.1016/j.seizure.2016.06.008