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Practical Biomedical Signal Analysis Using MATLAB
book

Practical Biomedical Signal Analysis Using MATLAB

by Katarzyn Blinowska, Jaroslaw Zygierewicz
September 2011
Intermediate to advanced content levelIntermediate to advanced
324 pages
10h 9m
English
CRC Press
Content preview from Practical Biomedical Signal Analysis Using MATLAB
Application to biomedical signals 121
FIGURE 4.9: EEG transmission in awake state eyes closed obtained by means of
different methods.
of DTF. On the other hand making the transformation to the source space involves
calculations, which can change the delicate balance in phase dependencies between
channels. Determination of MVAR model coefcients (and hence DTF) is based on
the correlation matrix between signals. The transformation changes this correlation
matrix in such a way that the correlations may be disturbed. It is recommended to
use as input to DTF the signals referenced to “neutral” electrode, e.g., “linked ears,”
“nose,” etc. Before tting the ...
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Publisher Resources

ISBN: 9781439812037