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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 211
tion linear discriminant analysis (LDA) and multilayer perceptron (MLP) were ap-
plied. The best performance was obtained for WP/PCA/LDA combination, yielding
a classication error of 6%. This result was an improvement in respect to procedures
based on time features of MUAPs, which for the same data gave an average error of
9%.
WT was also successfully applied for diagnosis and follow up of Parkinson dis-
ease [De Michele et al., 2003]. The sEMG for ballistic movement was recorded from
major pectoralis and posterior deltoid muscles. The Morlet complex wavelet was
used and cross-correlation was computed between continuous wavelet transforms
W
f
(a,τ) and W
g
(a,τ) of functions f (t) and g(t) describing signals from the ...
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Publisher Resources

ISBN: 9781439812037