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Quantitative EEG in acute mountain sickness

Acta Neurologica Scandinavica, 1998
To investigate if the EEG response at moderate altitude may predict a person's tolerance to acute mountain sickness (AMS).Frequency analysis (QEEG) of tape-recorded ambulatory EEG was performed in 6 climbers during a mountaineering expedition to 7546 m above sea level.
T, Sand, O, Nygaard
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Quantitative EEG analysis in clinical settings

Brain Topography, 1996
Quantitative EEG techniques are becoming more available. Eventually, all EEG will be digital. Various digital utility programs can help even now with storage and viewing the polygraph EEG itself. Techniques of frequency analysis, topographic mapping and discriminant functions are also available but have limited clinical use.
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The effect of paroxetine on the quantitative EEG

Acta Psychiatrica Scandinavica, 1989
G R, McClelland   +2 more
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[Value of quantitative EEG and EEG mapping in medicine].

Annales de medecine interne, 1987
Quantitative EEG consists in digitising the EEG from one or several leads and then mathematically processing the signal usually by Fourier spectral analysis. A reduction of the digital information gives characteristic parameters (frequency, amplitude or power, asymmetry, etc.), which can themselves be averaged and submitted to different statistical ...
P, Etévenon   +5 more
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Role of Quantitative EEG and EEG Reactivity in Traumatic Brain Injury

Clinical EEG and Neuroscience, 2022
Jinfang Liu, Jian Wang, Li Huang
exaly  

Quantitative EEG Analysis in Angelman Syndrome: Candidate Method for Assessing Therapeutics

Clinical EEG and Neuroscience, 2023
Anne E Anderson   +2 more
exaly  

Quantitative EEG as a Measure of Brain Dysfunction

1984
Publisher Summary This chapter presents the statistical evaluation of the relationship between different quantitative electroencephalogram (qEEG) parameters and the cerebral blood flow (CBF) as well as cerebral metabolism. The chapter discusses the clinical requirements, to find out which analysis technique could offer a meaningful data reduction ...
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