LEADER 00814nam0-22002891i-450- 001 990001010360403321 035 $a000101036 035 $aFED01000101036 035 $a(Aleph)000101036FED01 035 $a000101036 100 $a20000920d1957----km-y0itay50------ba 101 0 $aeng 200 1 $aNeutron Cross Sections$fBy Donald J. Hughes 210 $aLondon [etc.]$cPergamon Press$d1957 225 1 $aInternational Series Monographs on Nuclear Energy 610 0 $aFisica nucleare 610 0 $aDati nucleari 676 $a539.0212 700 1$aHughes,$bDonald James$f<1915- >$047845 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990001010360403321 952 $a34AIII-005$b259$fFI1 959 $aFI1 996 $aNeutron Cross Sections$9335172 997 $aUNINA DB $aING01 LEADER 04305nam 22007575 450 001 9910366601803321 005 20250707093009.0 010 $a981-13-9097-5 024 7 $a10.1007/978-981-13-9097-5 035 $a(CKB)4100000009844731 035 $a(DE-He213)978-981-13-9097-5 035 $a(MiAaPQ)EBC5977072 035 $a(PPN)242822193 035 $a(EXLCZ)994100000009844731 100 $a20191112d2020 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aBiomedical Signal Processing $eAdvances in Theory, Algorithms and Applications /$fedited by Ganesh Naik 205 $a1st ed. 2020. 210 1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2020. 215 $a1 online resource (X, 432 p. 237 illus., 125 illus. in color.) 225 1 $aSeries in BioEngineering,$x2196-8861 311 08$a981-13-9096-7 327 $aSurface Electromyography (EMG) Signal Processing, Classification, and Practical Considerations -- Estimation of ankle joint torque and angle based on S-EMG signal for assistive rehabilitation robots -- Force Myography and its Application to Human Locomotion -- Comparison of Independence of Triceps Brachii and Biceps Brachii between Paretic and Non-Paretic side during different MVCs?A case study -- An EEG brain-computer interface to classify motor imagery signals. 330 $aThis book reports on the latest advances in the study of biomedical signal processing, and discusses in detail a number of open problems concerning clinical, biomedical and neural signals. It methodically collects and presents in a unified form the research findings previously scattered throughout various scientific journals and conference proceedings. In addition, the chapters are self-contained and can be read independently. Accordingly, the book will be of interest to university researchers, R&D engineers and graduate students who wish to learn the core principles of biomedical signal analysis, algorithms, and applications, while also offering a valuable reference work for biomedical engineers and clinicians who wish to learn more about the theory and recent applications of neural engineering and biomedical signal processing. . 410 0$aSeries in BioEngineering,$x2196-8861 606 $aBiomedical engineering 606 $aSignal processing 606 $aImage processing 606 $aSpeech processing systems 606 $aPattern perception 606 $aComputational intelligence 606 $aComputer science$xMathematics 606 $aArtificial intelligence 606 $aBiomedical Engineering and Bioengineering$3https://scigraph.springernature.com/ontologies/product-market-codes/T2700X 606 $aSignal, Image and Speech Processing$3https://scigraph.springernature.com/ontologies/product-market-codes/T24051 606 $aPattern Recognition$3https://scigraph.springernature.com/ontologies/product-market-codes/I2203X 606 $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014 606 $aComputational Mathematics and Numerical Analysis$3https://scigraph.springernature.com/ontologies/product-market-codes/M1400X 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 615 0$aBiomedical engineering. 615 0$aSignal processing. 615 0$aImage processing. 615 0$aSpeech processing systems. 615 0$aPattern perception. 615 0$aComputational intelligence. 615 0$aComputer science$xMathematics. 615 0$aArtificial intelligence. 615 14$aBiomedical Engineering and Bioengineering. 615 24$aSignal, Image and Speech Processing. 615 24$aPattern Recognition. 615 24$aComputational Intelligence. 615 24$aComputational Mathematics and Numerical Analysis. 615 24$aArtificial Intelligence. 676 $a610.28 702 $aNaik$b Ganesh$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910366601803321 996 $aBiomedical signal processing$91900331 997 $aUNINA