Analysis of EEG tracings in frequency and time domain in hepatic encephalopathy

Spectral EEG analysis in hepatic encephalopathy (HE) is usually performed disregarding the effect of epoch length, statistical errors and equipment noise. A study on these items was carried out. In addition, spectral analysis and a new analysis, performed in time domain, were compared in the assessm...

Full description

Saved in:
Bibliographic Details
Published in:Computer methods and programs in biomedicine Vol. 81; no. 3; pp. 203 - 212
Main Authors: Pascoli, D., Guérit, J.M., Montagnese, S., de Tourtchaninoff, M., Minelli, T., Pellegrini, A., Del Piccolo, F., Gatta, A., Amodio, P.
Format: Journal Article
Language:English
Published: Ireland Elsevier Ireland Ltd 01.03.2006
Subjects:
Aged
Cognitive alterations
Digital EEG
Electrodes
Electroencephalography - methods
Encephalopathy
Female
Fibrosis - pathology
Frequency-domain analysis
Hepatic Encephalopathy - diagnosis
Hepatic Encephalopathy - pathology
Humans
Liver - pathology
Liver failure
Male
Middle Aged
Models, Statistical
Neurophysiology
Reproducibility of Results
Signal Processing, Computer-Assisted
Software
Time Factors
Time-domain analysis
Digital EEG
Liver failure
Frequency-domain analysis
Cognitive alterations
Time-domain analysis
Encephalopathy
ISSN:0169-2607, 1872-7565
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Spectral EEG analysis in hepatic encephalopathy (HE) is usually performed disregarding the effect of epoch length, statistical errors and equipment noise. A study on these items was carried out. In addition, spectral analysis and a new analysis, performed in time domain, were compared in the assessment of HE. The EEG tracings of 73 cirrhotic patients with HE were analyzed. Artifact-free periods of about 1 min were selected. Equipment noise was measured by short-circuiting all the electrodes. The equipment noise was notable below 1.5 Hz; the best epoch length was 4 s and the statistical errors were minimal for the band with the highest relative power. Nineteen per cent of the tracings were unstable. The spectral values were found to be related to liver function and to the degree of HE, whereas the relationship with psychometric variables was poor. The indexes computed by time-domain analysis were found to be better related to psychometric findings. We have provided information on the optimisation of spectral EEG analysis and presented a time-domain analysis giving results related to psychometric tests and liver function.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ObjectType-Article-1
ObjectType-Feature-2
ISSN:0169-2607
1872-7565
DOI:10.1016/j.cmpb.2005.10.009