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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
324 pages
10h 9m
English
CRC Press
Content preview from Practical Biomedical Signal Analysis Using MATLAB
146 Practical Biomedical Signal Analysis Using MATLAB
R
way it was possible to find a filter extracting single ERP. However, the method re-
lied on average ERP in the identification of ARMA model, and as such was not free
from the assumptions pointed out in Sect. 4.1.7.1.1. A similar approach was pre-
sented in [von Spreckelsen and Bromm, 1988]. The method relies on the assumption
that the measured activity can be separated into its evoked and spontaneous parts.
A compound state-space model trying to incorporate the observable properties of
both parts is formulated on the basis of additivity of the two components. Within this
model, spontaneous activity is described as an autoregressive process, while the EP
is modeled by an impulse response of a para ...
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Publisher Resources

ISBN: 9781439812037