Automatic classification of background EEG activity in healthy and sick neonates.
about
EEG signal description with spectral-envelope-based speech recognition features for detection of neonatal seizures.Automating the analysis of EEG recordings from prematurely-born infants: a Bayesian approachModeling electroencephalography waveforms with semi-supervised deep belief nets: fast classification and anomaly measurement.Objective differentiation of neonatal EEG background grades using detrended fluctuation analysisEEG-Based Brain-Computer Interface for Decoding Motor Imagery Tasks within the Same Hand Using Choi-Williams Time-Frequency DistributionAutomated electroencephalographic discontinuity in cooled newborns predicts cerebral MRI and neurodevelopmental outcome.An automated system for grading EEG abnormality in term neonates with hypoxic-ischaemic encephalopathyTextile electrodes for EEG recording--a pilot study.Prognostic capacity of automated quantification of suppression time in the EEG of post-asphyctic full-term neonates.An Automated Quiet Sleep Detection Approach in Preterm Infants as a Gateway to Assess Brain Maturation.
P2860
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P2860
Automatic classification of background EEG activity in healthy and sick neonates.
description
2010 nî lūn-bûn
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2010年の論文
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name
Automatic classification of background EEG activity in healthy and sick neonates.
@en
Automatic classification of background EEG activity in healthy and sick neonates.
@nl
type
label
Automatic classification of background EEG activity in healthy and sick neonates.
@en
Automatic classification of background EEG activity in healthy and sick neonates.
@nl
prefLabel
Automatic classification of background EEG activity in healthy and sick neonates.
@en
Automatic classification of background EEG activity in healthy and sick neonates.
@nl
P2093
P356
P1476
Automatic classification of background EEG activity in healthy and sick neonates.
@en
P2093
Anders Flisberg
Ingemar Kjellmer
Johan Löfhede
Kaj Lindecrantz
Magnus Thordstein
Manuel Rosa-Zurera
Nils Löfgren
P356
10.1088/1741-2560/7/1/016007
P577
2010-01-14T00:00:00Z