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

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.

Gespeichert in:
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
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung: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.
ISSN:1388-2457
1872-8952
DOI:10.1016/j.clinph.2016.05.358