The EEG assessment of low-grade hepatic encephalopathy: Comparison of an artificial neural network-expert system (ANNES) based evaluation with visual EEG readings and EEG spectral analysis

The EEG provides an objective staging of hepatic encephalopathy (HE), but its interpretation may be biased by inter-observer variability. This study aims at comparing an entirely automatic EEG classification of HE based on an artificial neural network-expert system procedure (ANNES) with visual and...

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Vydané v:	Clinical neurophysiology Ročník 117; číslo 10; s. 2243 - 2251
Hlavní autori:	Amodio, P., Pellegrini, A., Ubiali, E., Mathy, I., Piccolo, F. Del, Orsato, R., Gatta, A., Guerit, J.M.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Oxford Elsevier Ireland Ltd 01.10.2006 Elsevier
Predmet:	Artificial neural network Automatic EEG analysis Biological and medical sciences Cirrhosis EEG Electrodiagnosis. Electric activity recording Electroencephalography Expert Systems Eye and associated structures. Visual pathways and centers. Vision Female Fundamental and applied biological sciences. Psychology Hepatic encephalopathy Hepatic Encephalopathy - classification Hepatic Encephalopathy - mortality Hepatic Encephalopathy - physiopathology Humans Investigative techniques, diagnostic techniques (general aspects) Male Medical sciences Middle Aged Nervous system Neural Networks (Computer) Prognosis Reproducibility of Results Sensitivity and Specificity Spectral analysis Spectrum Analysis - methods Staging Vertebrates: nervous system and sense organs Visual reading Cirrhosis Automatic EEG analysis Staging EEG Artificial neural network Visual reading Hepatic encephalopathy Spectral analysis Automatic classification Variability Electrophysiology Hepatic disease Electroencephalography Eye Visual system Encephalopathy Observer Human Evaluation Nervous system diseases Rhythm Neural network Interpretation Cerebral disorder Repeatability Central nervous system disease Digestive diseases
ISSN:	1388-2457, 1872-8952
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