This book deals with the acquisition and extraction of the
various morphological features of the electrocardiogram
signals.
In the first chapters the book first presents data fusion and
different data mining techniques that have been used for the
cardiac state diagnosis. The second part deals with heart rate
variability (HRV), a non-invasive measurement of cardiovascular
autonomic regulation.
Next, visualization of ECG data is discussed, an important part
of the display in life threatening state. Here, the handling of
data is discussed which were acquired during several hours.
In the following chapters the book discusses aortic pressure
measurement which is of significant clinical importance. It
presents non-invasive methods for analysis of the aortic pressure
waveform, indicating how it can be employed to determine cardiac
contractility, arterial compliance, and peripheral resistance. In
addition, the book demonstrates methods to extract diagnostic
parameters for assessing cardiac function. Further the measurement
strategies for contractile effort of the left ventricle are
presented.
Finally, the book concludes about the future of cardiac signal
processing leading to next generation research topics which
directly impacts the cardiac health care.
The editors thank Biocom Technologies for the provided
scientific material and help in writing the book.
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