LEADER 04666nam 2200709Ia 450 001 9910820588503321 005 20200520144314.0 010 $a0-262-25848-X 010 $a1-282-63816-5 010 $a9786612638169 010 $a1-61583-515-6 010 $a0-262-25924-9 035 $a(CKB)2560000000014271 035 $a(EBL)3339120 035 $a(SSID)ssj0000403863 035 $a(PQKBManifestationID)11281293 035 $a(PQKBTitleCode)TC0000403863 035 $a(PQKBWorkID)10436821 035 $a(PQKB)10238927 035 $a(OCoLC)646068742 035 $a(MdBmJHUP)muse24486 035 $a(OCoLC)646068742$z(OCoLC)608360333$z(OCoLC)647915041$z(OCoLC)664027474$z(OCoLC)743201081$z(OCoLC)764535738$z(OCoLC)816563021$z(OCoLC)961537669$z(OCoLC)962605959$z(OCoLC)975704792$z(OCoLC)990608400$z(OCoLC)1018005369$z(OCoLC)1032366931$z(OCoLC)1032602873$z(OCoLC)1042318626$z(OCoLC)1049669481$z(OCoLC)1058657131 035 $a(OCoLC-P)646068742 035 $a(MaCbMITP)7558 035 $a(Au-PeEL)EBL3339120 035 $a(CaPaEBR)ebr10379969 035 $a(CaONFJC)MIL263816 035 $a(PPN)17027098X 035 $a(FR-PaCSA)88800182 035 $a(MiAaPQ)EBC3339120 035 $a(EXLCZ)992560000000014271 100 $a20090105d2010 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aBiomedical signal analysis $econtemporary methods and applications /$fFabian J. Theis and Anke Meyer-Base 205 $a1st ed. 210 $aCambridge, MA $cMIT Press$dc2010 215 $a1 online resource (438 p.) 300 $aDescription based upon print version of record. 311 $a0-262-01328-2 320 $aIncludes bibliographical references and index. 327 $aFoundations of medical imaging and signal recording -- Spectral transformations -- Information theory and principal component analysis -- Independent component analysis and blind source separation -- Dependent component analysis -- Pattern recognition techniques -- Fuzzy clustering and genetic algorithms -- Exploratory data analysis methods for fMRI -- Low-frequency functional connectivity in fMRI -- Classification of dynamic breast MR image data -- Dynamic cerebral contrast-enhanced perfusion MRI -- Skin lesion classification -- Microscopic slice image processing and automatic labeling -- NMR water artifact removal. 330 $a"Biomedical signal analysis has become one of the most important visualization and interpretation methods in biology and medicine. Many new and powerful instruments for detecting, storing, transmitting, analyzing, and displaying images have been developed in recent years, allowing scientists and physicians to obtain quantitative measurements to support scientific hypotheses and medical diagnoses. This book offers an overview of a range of proven and new methods, discussing both theoretical and practical aspects of biomedical signal analysis and interpretation." "After an introduction to the topic and a survey of several processing and imaging techniques, the book describes a broad range of methods, including continuous and discrete Fourier transforms, independent component analysis (ICA), dependent component analysis, neural networks, and fuzzy logic methods. The book then discusses applications of these theoretical tools to practical problems in everyday biosignal processing, considering such subjects as exploratory data analysis and low-frequency connectivity analysis in fMRI, MRI signal processing including lesion detection in breast MRI, dynamic cerebral contrast-enhanced perfusion MRI, skin lesion classification, and microscopic slice image processing and automatic labeling." "Biomedical Signal Analysis can be used as a text or professional reference. Part I, on methods, forms a self-contained text, with exercises and other learning aids, for upper-level undergraduate or graduate-level students. Researchers or graduate students in systems biology, genomic signal processing, and computer-assisted radiology will find both parts I and II (on applications) a valuable handbook."--Jacket. 606 $aMagnetic resonance imaging 606 $aImage processing 606 $aDiagnostic imaging 615 0$aMagnetic resonance imaging. 615 0$aImage processing. 615 0$aDiagnostic imaging. 676 $a616.07/54 700 $aTheis$b Fabian J$01624815 701 $aMeyer-Base$b Anke$01624816 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910820588503321 996 $aBiomedical signal analysis$93960004 997 $aUNINA