Real-time multi-channel monitoring of burst-suppression using neural network technology during pediatric status epilepticus treatment

Highlights • Multichannel real time system that automatically identifies burst-suppression. • Estimates burst-suppression index using neural network technology. • Excellent agreement between automated and manual classification of burst-suppression.

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Bibliographische Detailangaben
Veröffentlicht in:	Clinical neurophysiology 2016-08, Vol.127 (8), p.2820-2831
Hauptverfasser:	Papadelis, Christos, Ashkezari, Seyedeh Fatemeh Salimi, Doshi, Chiran, Thome, Sigride, Pearl, Phillip L, Grant, Patricia Ellen, Tasker, Robert C, Loddenkemper, Tobias
Format:	Artikel
Sprache:	eng
Schlagworte:	Adolescent Brain - physiopathology Burst-suppression Child Child, Preschool Electroencephalography Female Humans Intensive care unit Intensive Care Units Male Monitoring Monitoring, Physiologic - methods Neural network Neural Networks, Computer Neurology Sensitivity and Specificity Status epilepticus Status Epilepticus - physiopathology
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