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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
116 Practical Biomedical Signal Analysis Using MATLAB
R
discriminant analysis, or articial neural networks (ANN).
4.1.6.1 Single channel analysis
Estimation of power spectra is one of the most frequently used methods of EEG
analysis. It provides information about the basic rhythms present in the signal and
can be easily and rapidly calculated by means of the fast Fourier transform (FFT).
Maximum entropy power spectrum may be obtained by means of the autoregres-
sive model, which can be recommended for the EEG analysis. Notwithstanding the
advantages of AR spectral estimate mentioned already (Sect. 2.3.2.2.3) the transfer
function of the AR model represented as a system of parallel lters is compatible
with the presence of EEG rhythms.
The impulse
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Publisher Resources

ISBN: 9781439812037