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...
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| Veröffentlicht in: | Computer methods and programs in biomedicine Jg. 81; H. 3; S. 203 - 212 |
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| Abstract | 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. |
|---|---|
| AbstractList | 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. 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 4s 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.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 4s 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. 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. 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 4s 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. |
| Author | Pascoli, D. Amodio, P. Minelli, T. Gatta, A. Del Piccolo, F. Montagnese, S. de Tourtchaninoff, M. Guérit, J.M. Pellegrini, A. |
| Author_xml | – sequence: 1 givenname: D. surname: Pascoli fullname: Pascoli, D. organization: Department of Physics University of Padova, Italy – sequence: 2 givenname: J.M. surname: Guérit fullname: Guérit, J.M. organization: Unité pour la Recherche Neurophysiologique du Systeme Nerveux, Université de Louvain Bruxelles, Belgium – sequence: 3 givenname: S. surname: Montagnese fullname: Montagnese, S. organization: Department of Clinical and Experimental Medicine, Via Giustiniani, 2, 33128 Padova, Italy – sequence: 4 givenname: M. surname: de Tourtchaninoff fullname: de Tourtchaninoff, M. organization: Unité pour la Recherche Neurophysiologique du Systeme Nerveux, Université de Louvain Bruxelles, Belgium – sequence: 5 givenname: T. surname: Minelli fullname: Minelli, T. organization: Department of Physics University of Padova, Italy – sequence: 6 givenname: A. surname: Pellegrini fullname: Pellegrini, A. organization: Department of Clinical and Experimental Medicine, Via Giustiniani, 2, 33128 Padova, Italy – sequence: 7 givenname: F. surname: Del Piccolo fullname: Del Piccolo, F. organization: Department of Clinical and Experimental Medicine, Via Giustiniani, 2, 33128 Padova, Italy – sequence: 8 givenname: A. surname: Gatta fullname: Gatta, A. organization: Department of Clinical and Experimental Medicine, Via Giustiniani, 2, 33128 Padova, Italy – sequence: 9 givenname: P. surname: Amodio fullname: Amodio, P. email: piero.amodio@unipd.it organization: Department of Clinical and Experimental Medicine, Via Giustiniani, 2, 33128 Padova, Italy |
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| CitedBy_id | crossref_primary_10_1080_1086508X_2008_11079678 crossref_primary_10_1016_j_physa_2019_123234 crossref_primary_10_1002_hep_28477 crossref_primary_10_1016_j_ergon_2012_02_004 crossref_primary_10_1111_j_1479_8425_2010_00484_x crossref_primary_10_1007_s11011_014_9589_1 crossref_primary_10_1007_s40998_018_0060_x crossref_primary_10_1007_s11011_017_0032_2 crossref_primary_10_1016_j_neures_2016_04_009 crossref_primary_10_3390_mi16080886 |
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| Keywords | Digital EEG Liver failure Frequency-domain analysis Cognitive alterations Time-domain analysis Encephalopathy |
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| SubjectTerms | 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 |
| Title | Analysis of EEG tracings in frequency and time domain in hepatic encephalopathy |
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