Biomedical Engineering Reference
In-Depth Information
contains some MATLAB-based soft keys, menus, and toolsets. The application
software runs in the background and has dual functions: first, collecting ECG
samples from the stand-alone DAS and storing it in a time-stamped data file and
second, extracting time-plane features from a collected lead data and displaying
them in a meaningful manner on the GUI for easy interpretation. Added with this,
a plot of the lead data will be additional information for the user for clinical
decision making. Hence, the following signatures and plots are provided at the
front panel:
ECG time-plane features are as follows: 1. R-R interval; 2. QRS interval; 3. ST
segment width; 4. QT interval; and 5. corrected Qt interval or (QT) c .
Plots are as follows: 1. lead plot of quantized data; 2. reconstructed data plot;
and 3. R-R interval plot.
A screenshot of the GUI with extracted features and lead plot is shown in
Fig. 3.14 .
3.7 Conclusion
This chapter describes the basic configurations of hardware acquisition modules
for ECG acquisitions in a computer, with special emphasis on ECG artifacts, ECG
amplifiers, and their design requirements, followed by an ECG acquisition system
with the development of a stand-alone embedded system used as DAS card. A
brief introduction on serial communication protocols, signal characteristics, and its
implementation between the DAS card and MATLAB-based application software
is provided.
Acknowledgments Paper [ 25 ] is the contribution from Biomedical Signal acquisition and
Processing Research Group at Department of Applied Physics, University of Calcutta, India.
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