000			04572nam a22005895i 4500
001			978-3-540-36675-1
003			DE-He213
005			20161121231159.0
007			cr nn 008mamaa
008			100301s2007 gw | s |||| 0|eng d
020			_a9783540366751 _9978-3-540-36675-1
024	7		_a10.1007/978-3-540-36675-1 _2doi
050		4	_aTK5102.9
050		4	_aTA1637-1638
050		4	_aTK7882.S65
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072		7	_aUYS _2bicssc
072		7	_aTEC008000 _2bisacsh
072		7	_aCOM073000 _2bisacsh
082	0	4	_a621.382 _223
245	1	0	_aAdvances in Cardiac Signal Processing _h[electronic resource] / _cedited by U. Rajendra Acharya, Jasjit S. Suri, Jos A. E. Spaan, Shankar M. Krishnan.
264		1	_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2007.
300			_aXXII, 468 p. 268 illus., 13 illus. in color. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
505	0		_aThe Electrocardiogram -- Analysis of Electrocardiograms -- Prediction of Cardiac Signals Using Linear and Nonlinear Techniques -- Visualization of Cardiac Health Using Electrocardiograms -- Heart Rate Variability -- Data Fusion of Multimodal Cardiovascular Signals -- Classification of Cardiac Patient States Using Artificial Neural Networks -- The Application of Autoregressive Modeling in Cardiac Arrhythmia Classification -- Classification of Cardiac Abnormalities Using Heart Rate Signals: A Comparative Study -- Storage and Transmission of Cardiac Data with Medical Images -- Assessment of Cardiac Function in Filling amp; Systolic Ejection Phases: A Mathematical and Clinical Evaluation -- Arterial Wave Propagation and Reflection at a Bifurcation Site -- ECG Signal Conditioning by Morphological Filters -- Multivariate Analysis for Cardiovascular and Respiratory Signals -- Phase Space Analysis for Cardiovascular Signals -- Linear, Non-Linear and Wavelet Analysis of Cardiac Health Using Heart Rate Signals -- Soft Tissue Biomechanics of the Left Ventricular Myocardium -- Wavelets and its Application in Cardiology -- 1/f Fluctuation of Heart Rate in Postoperative and Brain-Dead Patients -- Stress During Speech Therapy.
520			_aThis 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.
650		0	_aEngineering.
650		0	_aCardiology.
650		0	_aStatistical physics.
650		0	_aDynamical systems.
650		0	_aComputational intelligence.
650		0	_aBiomedical engineering.
650	1	4	_aEngineering.
650	2	4	_aSignal, Image and Speech Processing.
650	2	4	_aCardiology.
650	2	4	_aStatistical Physics, Dynamical Systems and Complexity.
650	2	4	_aComputational Intelligence.
650	2	4	_aBiomedical Engineering.
700	1		_aAcharya, U. Rajendra. _eeditor.
700	1		_aSuri, Jasjit S. _eeditor.
700	1		_aSpaan, Jos A. E. _eeditor.
700	1		_aKrishnan, Shankar M. _eeditor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783540366744
856	4	0	_uhttp://dx.doi.org/10.1007/978-3-540-36675-1
912			_aZDB-2-ENG
950			_aEngineering (Springer-11647)
999			_c509727 _d509727