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008 150903s2007 gw | o |||| 0|eng d
020 _a9783540366751
_99783540366751
024 7 _a10.1007/9783540366751
_2doi
035 _avtls000349205
039 9 _a201509030451
_bVLOAD
_c201405050343
_dVLOAD
_y201402071156
_zstaff
040 _aMX-SnUAN
_bspa
_cMX-SnUAN
_erda
050 4 _aTK5102.9
100 1 _9332422
_aAcharya, U. Rajendra.
_eeditor.
245 1 0 _aAdvances in Cardiac Signal Processing /
_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 páginas 268 ilustraciones, 13 en color.
_brecurso en línea.
336 _atexto
_btxt
_2rdacontent
337 _acomputadora
_bc
_2rdamedia
338 _arecurso en línea
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
_2rda
500 _aSpringer eBooks
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.
590 _aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700 1 _aSuri, Jasjit S.
_eeditor.
_9300098
700 1 _aSpaan, Jos A. E.
_eeditor.
_9332423
700 1 _aKrishnan, Shankar M.
_eeditor.
_9332424
710 2 _aSpringerLink (Servicio en línea)
_9299170
776 0 8 _iEdición impresa:
_z9783540366744
856 4 0 _uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-3-540-36675-1
_zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
942 _c14
999 _c296988
_d296988