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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
206 Practical Biomedical Signal Analysis Using MATLAB
R
force, muscle fatigue, and the condition of unused muscles and muscles in chronic
pain syndromes are considered in [Fuglsang-Frederiksen, 2000].
In the system proposed by Pattichis and coworkers [Pattichis and Elia, 1999] for
differentiation of myogenic and neurogenic signals from normal EMG, both time
domain and frequency domain features of EMG were considered. The following
time-domain parameters were automatically determined: 1) MUAP duration,2) spike
duration measured from the rst to the last positive peak, 3) amplitude: difference
between the minimum positive peak and maximum negative peak, 4) area: sum of
the rectied MUAP integrated over its duration, 5) spike area: sum of the recti
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Publisher Resources

ISBN: 9781439812037