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Linear and Nonlinear Quantitative EEG Analysis

IEEE Engineering in Medicine and Biology Magazine, 2008
Presented is a progressive investigation on the EEG of Han Chinese patients with Alzheimer's disease (AD).Thus, an investigative project on Q-EEG was performed on the ethnic Han Chinese patients with AD by the Neural Engineering Lab of Tianjin University.
Baikun, Wan   +6 more
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Quantitative topographic differentiation of the neonatal EEG

Clinical Neurophysiology, 2006
To test the discriminatory topographic potential of a new method of the automatic EEG analysis in neonates. A quantitative description of the neonatal EEG can contribute to the objective assessment of the functional state of the brain, and may improve the precision of diagnosing cerebral dysfunctions manifested by 'disorganization', 'dysrhythmia' or ...
Karel, Paul   +4 more
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The Quantitative Analysis of EEG Data

1970
Publisher Summary Electroencephalography (EEG) may help the clinician to discover position and, sometimes, even type of a brain lesion. This intuitive handling of EEG data has left many scientists unsatisfied and has stimulated research to quantify EEG data. The most efficient way to quantify all EEG parameters is to digitalize the analog EEG traces.
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Quantitative, waking EEG research on depression

Biological Psychiatry, 1990
Research published in the past decade that used quantitative indices to evaluate the waking EEG characteristics of depressed patients is reviewed. Methodological problems that make results of different research laboratories difficult to compare include diagnostic heterogeneity of depressed groups, lack of inclusion of control subjects, and differences ...
V E, Pollock, L S, Schneider
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Continuous EEG Monitoring and Quantitative EEG Techniques

2019
Continuous EEG (cEEG) monitoring in critically ill patients is a noninvasive way to assess brain function and help identify clinically silent neurological events. Quantitative EEG (qEEG) is a method for analyzing and compressing vast amounts of cEEG-generated data and includes the visual representation of mathematically or statistically compressed raw ...
Naiara Garcia-Losarcos   +2 more
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Quantitative EEG in obsessive-compulsive disorder

Biological Psychiatry, 1993
Electroencephalograms (EEGs) were recorded from 13 unmedicated and nondepressed patients with DSM-III-R obsessive-compulsive disorder (OCD) and from 10 age-matched controls. All subjects were also administered the Wechsler Memory Scale Delayed Logical Memory and Delayed Visual Reproduction tests.
M A, Kuskowski   +5 more
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High resolution quantitative EEG analysis

Brain Topography, 1994
High resolution spectral methods are explored as an alternative to broad band spectral parameters (BBSP) in quantitative EEG analysis. In a previous paper (Valdes et al. 1990b) regression equations ("Developmental surfaces") were introduced to characterize the age-frequency distribution of the mean and standard deviation of the log spectral EEG power ...
S, Szava   +6 more
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Quantitative EEG correlates of panic disorder

Psychiatry Research: Neuroimaging, 1996
Quantitative analysis of electroencephalographic (EEG) signals recorded from multiple scalp sites was used to compare panic disorder patients (n = 34) with normal healthy controls. Patients exhibited greater overall absolute power in the delta, theta, and alpha frequency bands and less relative power in the beta band.
V J, Knott   +4 more
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Quantitative EEG analysis during hypnosis

Electroencephalography and Clinical Neurophysiology, 1972
Abstract Although some investigators have previously reported light or deep sleep EEG patterns during hypnosis, most of them have not demonstrated any significant EEG differences between the hypnotic and the awake states. By quantitative electroencephalographic (EEG) methods, using digital computer period analysis and analog frequency analyzer ...
G A, Ulett, S, Akpinar, T M, Itil
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Quantitative EEG in frontal lobe dementia

1996
A study on quantitative EEG in 14 patients with frontal lobe dementia (FLD), 14 patients with Alzheimer's disease (AD), and 14 healthy controls was conducted using a complete set of EEG parameters: band power, coherence and fractal dimension. Contrary to earlier studies, we observed higher theta power and sagittal interactions in higher frequency bands
C, Besthorn   +5 more
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