LEADER 04598nam 2200625 450 001 996216867603316 005 20240219140143.0 024 7 $a10.1109/9780470545362 035 $a(CKB)3280000000033542 035 $a(SSID)ssj0000441673 035 $a(PQKBManifestationID)11267133 035 $a(PQKBTitleCode)TC0000441673 035 $a(PQKBWorkID)10406763 035 $a(PQKB)10095435 035 $a(CaBNVSL)mat05263178 035 $a(IDAMS)0b000064810c3334 035 $a(IEEE)5263178 035 $a(OCoLC)798698950 035 $a(EXLCZ)993280000000033542 100 $a20100317h20152000 uy 0 101 0 $aeng 135 $aur|n||||||||| 181 $ctxt 182 $cc 183 $acr 200 00$aNonlinear biomedical signal processing$hVolume 1$iFuzzy logic, neural networks, and new algorithms /$fedited by Metin Akay 210 1$aNew York :$cIEEE Press,$dc2000. 210 2$a[Piscataqay, New Jersey] :$cIEEE Xplore,$d[2000] 215 $a1 PDF (276 pages) $cillustrations (some color) 225 1 $aIEEE Press series on biomedical engineering ;$v5 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$aPrint version: 9780780360112 320 $aIncludes bibliographical references and index. 327 $aPreface. List of Contributors. Uncertainty Management in Medical Applications (B. Bouchon-Meunier). Applications of Fuzzy Clustering to Biomedical Signal Processing and Dynamic System (A. Geva). Neural Networks: A Guided Tour (S. Haykin). Neural Networks in Processing and Analysis of Biomedical Signals (H. Nazeran & K. Behbehani). Rare Event Detection in Genomic Sequences by Neural Networks and Sample Stratification (W. Choe, et al.). An Axiomatic Approach to Reformulating Radial Basis Neural Networks (N. Karayiannis). Soft Learning Vector Quantization and Clustering Algorithms Based on Reformulation (N. Karayiannis). Metastable Associative Network Models of Neuronal Dynamics Transition During Sleep (M. Nakao & M. Yamamoto). Artificial Neural Networks for Spectroscopic Signal Measurement (C.-W. Lin, et al.). Applications of Feed-Forward Neural Networks in the Electrogastrogram (Z. Lin & J. Chen). Index. About the Editor. 330 $aFor the first time, eleven experts in the fields of signal processing and biomedical engineering have contributed to an edition on the newest theories and applications of fuzzy logic, neural networks, and algorithms in biomedicine. Nonlinear Biomedical Signal Processing, Volume I provides comprehensive coverage of nonlinear signal processing techniques. In the last decade, theoretical developments in the concept of fuzzy logic have led to several new approaches to neural networks. This compilation delivers plenty of real-world examples for a variety of implementations and applications of nonlinear signal processing technologies to biomedical problems. Included here are discussions that combine the various structures of Kohenen, Hopfield, and multiple-layer "designer" networks with other approaches to produce hybrid systems. Comparative analysis is made of methods of genetic, back-propagation, Bayesian, and other learning algorithms. Topics covered include: . Uncertainty management. Analysis of biomedical signals. A guided tour of neural networks. Application of algorithms to EEG and heart rate variability signals. Event detection and sample stratification in genomic sequences. Applications of multivariate analysis methods to measure glucose concentration Nonlinear Biomedical Signal Processing, Volume I is a valuable reference tool for medical researchers, medical faculty and advanced graduate students as well as for practicing biomedical engineers. Nonlinear Biomedical Signal Processing, Volume I is an excellent companion to Nonlinear Biomedical Signal Processing, Volume II: Dynamic Analysis and Modeling. 410 0$aIEEE Press series on biomedical engineering ;$v5 517 3 $aFuzzy logic, neural networks, and new algorithms 606 $aSignal processing 606 $aBiomedical engineering 606 $aFuzzy logic 606 $aNeural networks (Computer science) 615 0$aSignal processing. 615 0$aBiomedical engineering. 615 0$aFuzzy logic. 615 0$aNeural networks (Computer science) 676 $a610/.285/632 700 $aAkay$b Metin$0772085 701 $aAkay$b Metin$0772085 801 0$bCaBNVSL 801 1$bCaBNVSL 801 2$bCaBNVSL 906 $aBOOK 912 $a996216867603316 996 $aNonlinear biomedical signal processing$91887042 997 $aUNISA