Quantification of EEG irregularity by use of the entropy of the power spectrum.
about
Nonlinear analysis of EEG signals at different mental statesA statistical framework for neuroimaging data analysis based on mutual information estimated via a gaussian copula.Fractal dimension of EEG activity senses neuronal impairment in acute strokePyEEG: an open source Python module for EEG/MEG feature extraction.Entropy and Complexity Analyses in Alzheimer's Disease: An MEG Study.The dynamics of EEG entropyLocal properties of vigilance states: EMD analysis of EEG signals during sleep-waking states of freely moving rats.EEG oscillatory states: universality, uniqueness and specificity across healthy-normal, altered and pathological brain conditionsEEG entropy measures in anesthesiaCharacterization of early partial seizure onset: frequency, complexity and entropy.In search of objective components for sleep quality indexing in normal sleep.Automated EEG entropy measurements in coma, vegetative state/unresponsive wakefulness syndrome and minimally conscious state.Using the nonlinear control of anaesthesia-induced hypersensitivity of EEG at burst suppression level to test the effects of radiofrequency radiation on brain function.EEG feature comparison and classification of simple and compound limb motor imageryPredicting Inter-session Performance of SMR-Based Brain-Computer Interface Using the Spectral Entropy of Resting-State EEG.Spectral Variability in the Aged Brain during Fine Motor Control.Decision support system for breast cancer detection using mammograms.Variability of model-free and model-based quantitative measures of EEG.Feature ranking and rank aggregation for automatic sleep stage classification: a comparative study.Comparison of background EEG activity of different groups of patients with idiopathic epilepsy using Shannon spectral entropy and cluster-based permutation statistical testing.Short-term EEG spectral pattern as a single event in EEG phenomenology.Physiological aging impacts the hemispheric balances of resting state primary somatosensory activities.Time-frequency balanced spectral entropy as a measure of anesthetic drug effect in central nervous system during sevoflurane, propofol, and thiopental anesthesia.The Narcotrend Index: classification algorithm, correlation with propofol effect-site concentrations, and comparison with spectral parameters.Analysis of epileptic EEG signals using higher order spectra.Frontal electroencephalogram variables are associated with the outcome and stage of hepatic encephalopathy in acute liver failure.Decreased spectral entropy modulation in patients with schizophrenia during a P300 task.Quantitative EEG Parameters for Prediction of Outcome in Severe Traumatic Brain Injury: Development Study.Cardiac state diagnosis using higher order spectra of heart rate variability.EEG changes during mental activation.Age-related task sensitivity of frontal EEG entropy during encoding predicts retrieval.Application of higher order spectra to identify epileptic EEG.Intra-subject variability of snoring sounds in relation to body position, sleep stage, and blood oxygen level.Quantification of alpha rhythm desynchronization using the acceleration spectrum entropy of the EEG.Automatic identification of epileptic electroencephalography signals using higher-order spectra.Rapidly detecting disorder in rhythmic biological signals: a spectral entropy measure to identify cardiac arrhythmias.Noise power associated with decreased task-induced variability of brain electrical activity in schizophrenia.Electroencephalographic signal analysis and desynchronization effect caused by two differing mental arithmetic skills.Automated diagnosis of oral cancer using higher order spectra features and local binary pattern: a comparative study.Description of the Entropy algorithm as applied in the Datex-Ohmeda S/5 Entropy Module.
P2860
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P2860
Quantification of EEG irregularity by use of the entropy of the power spectrum.
description
1991 nî lūn-bûn
@nan
1991年の論文
@ja
1991年学术文章
@wuu
1991年学术文章
@zh
1991年学术文章
@zh-cn
1991年学术文章
@zh-hans
1991年学术文章
@zh-my
1991年学术文章
@zh-sg
1991年學術文章
@yue
1991年學術文章
@zh-hant
name
Quantification of EEG irregularity by use of the entropy of the power spectrum.
@en
Quantification of EEG irregularity by use of the entropy of the power spectrum.
@nl
type
label
Quantification of EEG irregularity by use of the entropy of the power spectrum.
@en
Quantification of EEG irregularity by use of the entropy of the power spectrum.
@nl
prefLabel
Quantification of EEG irregularity by use of the entropy of the power spectrum.
@en
Quantification of EEG irregularity by use of the entropy of the power spectrum.
@nl
P2093
P1476
Quantification of EEG irregularity by use of the entropy of the power spectrum.
@en
P2093
Sakamoto H
Shinosaki K
P304
P356
10.1016/0013-4694(91)90138-T
P577
1991-09-01T00:00:00Z