Gaussian mixture models for classification of neonatal seizures using EEG.
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Clinical implementation of a neonatal seizure detection algorithmEEG signal description with spectral-envelope-based speech recognition features for detection of neonatal seizures.Instantaneous measure of EEG channel importance for improved patient-adaptive neonatal seizure detection.Neonatal seizures and status epilepticus.A discriminative approach to EEG seizure detection.Predicting seizure by modeling synaptic plasticity based on EEG signals - a case study of inherited epilepsy.Sparse representation-based EMD and BLDA for automatic seizure detection.
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Gaussian mixture models for classification of neonatal seizures using EEG.
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article científic
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article scientifique
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articolo scientifico
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artigo científico
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bilimsel makale
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scientific article published on 28 June 2010
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vedecký článok
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vetenskaplig artikel
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videnskabelig artikel
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vědecký článek
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name
Gaussian mixture models for classification of neonatal seizures using EEG.
@en
Gaussian mixture models for classification of neonatal seizures using EEG.
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type
label
Gaussian mixture models for classification of neonatal seizures using EEG.
@en
Gaussian mixture models for classification of neonatal seizures using EEG.
@nl
prefLabel
Gaussian mixture models for classification of neonatal seizures using EEG.
@en
Gaussian mixture models for classification of neonatal seizures using EEG.
@nl
P2093
P2860
P356
P1476
Gaussian mixture models for classification of neonatal seizures using EEG.
@en
P2093
P2860
P304
P356
10.1088/0967-3334/31/7/013
P577
2010-06-28T00:00:00Z