Automated EEG background analysis to identify neonates with hypoxic-ischemic encephalopathy treated with hypothermia at risk for adverse outcome: A pilot study

To improve the objective assessment of continuous video-EEG (cEEG) monitoring of neonatal brain function, the aim was to relate automated derived amplitude and duration parameters of the suppressed periods in the EEG background (dynamic Interburst Interval= dIBIs) after neonatal hypoxic-ischemic enc...
Ausführliche Beschreibung

Gespeichert in:
Autor*in:

Dereymaeker, Anneleen [verfasserIn]

Matic, Vladimir

Vervisch, Jan

Cherian, Perumpillichira J.

Ansari, Amir H.

De Wel, Ofelie

Govaert, Paul

De Vos, Maarten

Van Huffel, Sabine

Naulaers, Gunnar

Jansen, Katrien

Format:

E-Artikel

Sprache:

Englisch

Erschienen:

2019

Schlagwörter:

outcome prediction

hypoxic-ischemic encephalopathy

automated EEG analysis

dynamic Interburst Interval

Umfang:

9

Übergeordnetes Werk:

Enthalten in: Electrospinning of calcium carbonate fibers and their conversion to nanocrystalline hydroxyapatite - Holopainen, Jani ELSEVIER, 2014transfer abstract, [Singapore]

Übergeordnetes Werk:

volume:60 ; year:2019 ; number:1 ; pages:50-58 ; extent:9

Links:

Volltext

DOI / URN:

10.1016/j.pedneo.2018.03.010

Katalog-ID:

ELV045618399

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