Electroencephalographic analysis for the assessment of hepatic encephalopathy: comparison of non-parametric and parametric spectral estimation techniques.
Neurophysiol Clin
; 39(2): 107-15, 2009 Apr.
Article
de En
| MEDLINE
| ID: mdl-19467441
ABSTRACT
OBJECTIVE:
To compare electroencephalographic spectral analysis obtained by periodogram (calculated by means of Fast Fourier Transform) and autoregressive (AR) modelling for the assessment of hepatic encephalopathy.METHODS:
The mean dominant frequency (MDF) and the relative power of delta, theta, alpha, and beta bands were computed by both techniques from the electroencephalograms (EEG) of 201 cirrhotics and were evaluated in the clinical and prognostic assessment of the patients.RESULTS:
The values of all the five indexes computed by periodogram and AR modelling matched each other, but the latter provided stable values after the analysis of fewer epochs. Independently of the technique, the relative power of theta and alpha bands fitted the clinical data and had prognostic value. The relative power of beta and delta bands computed by AR modelling fitted more closely with clinical data fitted the clinical data more closely.CONCLUSIONS:
The electroencephalographic spectral indexes obtained by periodogram and AR modelling were found to be, on average, undistinguishable, but the latter appeared less sensitive to noise and provided a more reliable assessment of low-power bands.
Texte intégral:
1
Collection:
01-internacional
Base de données:
MEDLINE
Sujet principal:
Encéphalopathie hépatique
/
Électroencéphalographie
/
Cirrhose du foie
Type d'étude:
Clinical_trials
/
Etiology_studies
/
Prognostic_studies
Limites:
Adult
/
Female
/
Humans
/
Male
/
Middle aged
Langue:
En
Journal:
Neurophysiol Clin
Sujet du journal:
FISIOLOGIA
/
NEUROLOGIA
Année:
2009
Type de document:
Article
Pays d'affiliation:
Italie