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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 201
FIGURE 4.46: Plots of 8-s duration signal showing the output from the four post-
processing methods. (A) Hilbert. (B) ICA. (C) Hilbert + ICA. (D) Filtered. In (B),
the ICA component shows a momentary polarity inversion that results in missed
beats. In (C), the Hilbert method applied to ICA components removes the polarity
inversion. From [Wilson et al., 2008, Fig. 6].
4.3.1 Measurement techniques and physiological background
The EMG characteristics depend on the kind of applied electrodes. EMG may be
recorded by means of intramuscular (needle or ne wire) or surface electrodes. The
range of measured potential difference ...
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Publisher Resources

ISBN: 9781439812037