Advances in Cardiac Signal Processing

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.