TITLE:
Age-Related Changes in Probability Density Function of Pairwise Euclidean Distances between Multichannel Human EEG Signals
AUTHORS:
Mikhail Trifonov, Vladimir Rozhkov
KEYWORDS:
EEG Development, Hypoxia, Probability Density Functions, Hyper Gamma Distribution
JOURNAL NAME:
Journal of Biosciences and Medicines,
Vol.2 No.4,
June
12,
2014
ABSTRACT: The probability density functions (pdf’s)
and the first order structure functions (SF’s) of the pairwise Euclidean distances
between scaled multichannel human EEG signals at different time lags under
hypoxia and in resting state at different ages are estimated. It is found that
the hyper gamma distribution is a good fit for the empirically derived pdf in
all cases. It means that only two parameters (sample mean of EEG Euclidean
distances at a given time lag and relevant coefficient of variation) may be
used in the approximate classification of empirical pdf’s. Both these
parameters tend to increase in the first twenty years of life and tend to
decrease as healthy adults getting older. Our findings indicate that such
age-related dependence of these parameters looks like as age- related
dependence of the total brain white matter volume. It is shown that 15 min
hypoxia (8% oxygen in nitrogen) causes a significant (about 50%) decrease of
the mean relative displacement EEG value that is typical for the rest state. In
some sense the impact of the oxygen deficit looks like the subject getting
older during short-term period.