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020 _a9783319109848
024 7 _a10.1007/978-3-319-10984-8
_2doi
050 4 _aTA1637
_b.S546 2015
245 1 0 _aSignal and Image Analysis for Biomedical and Life Sciences
_cedited by Changming Sun, Tomasz Bednarz, Tuan D. Pham, Pascal Vallotton, Dadong Wang.
260 _aCham, Switzerland
_bSpringer
_c2015
300 _a1 recurso en línea (XVI, 276 páginas)
_b113 ilustraciones, 60 ilustraciones en color
336 _aTexto
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
490 0 _aAdvances in Experimental Medicine and Biology
_x0065-2598
_v823
505 0 _aVisual Analytics of Signalling Pathways Using Time Profiles -- Modeling of Testosterone Regulation by Pulse-modulated Feedback -- Hybrid Algorithms for Multiple Change-Point Detection in Biological Sequence -- Stochastic Anomaly Detection in Eye-Tracking Data for Quantification of Motor Symptoms in Parkinsonâ€{u3804}isease -- Identification of the Reichardt Elementary Motion Detector Model.-Â{uDD6C}lti-Complexity Ensemble Measures for Gait Time Series Analysis: Application to Diagnostics, Monitoring and Biometrics -- Development of a Motion Capturing and Load Analyzing System for Caregivers Aiding a Patient to Sit Up in Bed -- Classifying Epileptic EEG Signals with Delay Permutation Entropy and Multi-Scale K-means -- Tracking of EEG Activity Using Motion Estimation to Understand Brain Wiring -- Towards Automated Quantitative Vasculature Understanding via Ultra High-Resolution Imagery -- Cloud Based Toolbox for Image Analysis, Processing and Reconstruction Tasks -- Pollen Image Classification Using the Classifynder System: Algorithm Comparison and a Case Study on New Zealand Honey -- Digital Image Processing and Analysis for Activated Sludge Wastewater Treatment -- A Complete System for 3D Reconstruction of Roots for Phenotypic Analysis.
520 3 _aSignal and image analysis techniques are becoming more widely used in biomedical and life science applications. With an emphasis on applications of computational models for solving modern challenging problems in biomedical and life sciences, this book aims to bring collections of articles from biologists, medical/biomedical and health science researchers together with computational scientists to focus on problems at the frontier of biomedical and life sciences. The goals of this book are to build interactions of scientists across several disciplines and to help industrial users apply advanced computational techniques for solving practical biomedical and life science problems. This book is for users in the fields of biomedical and life sciences who wish to keep abreast with the latest techniques in signal and image analysis. The book presents a detailed description to some of the applications. It can be used by those both at graduate and specialist levels.
710 2 _aSpringerLink (Online service)
_0Local
_9106996
942 _2lcc
_cLE
988 _aEBOOK, asignarmaterias, EBSPRINGER,
650 2 7 _aProceso digital de imágenes
_2embne
_9413188
650 2 7 _aCiencias biomédicas
_2embne
_9143729
700 1 _aSun, Changming
_eeditor literario
_993611
_0Local
700 1 _aBednarz, Tomasz
_eeditor literario
_993612
_0Local
700 1 _aPham, Tuan D
_eeditor literario
_993613
_0Local
700 1 _aVallotton, Pascal
_eeditor literario
_993614
_0Local
700 1 _aWang, Dadong
_eeditor literario
_993615
_0Local
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://link.springer.com/book/10.1007/978-3-319-10984-8
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
907 _a.b12898661
_b10-10-17
_c18-01-16
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