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Signal and Image Analysis for Biomedical and Life Sciences

  • Book
  • © 2015

Overview

Editors:
  1. Changming Sun

    1. Digital Productivity Flagship, CSIRO, Sydney, Australia

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  2. Tomasz Bednarz

    1. Digital Productivity Flagship, CSIRO, Sydney, Australia

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  3. Tuan D. Pham

    1. The University of Aizu, Fukushima, Japan

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  4. Pascal Vallotton

    1. Digital Productivity Flagship, CSIRO, Sydney, Australia

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  5. Dadong Wang

    1. Digital Productivity Flagship, CSIRO, Sydney, Australia

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  • Emphasis on applications of computational models
  • Focusses on problems at the frontier of biomedical and life sciences
  • Presents a detailed description to each of the applications

Part of the book series: Advances in Experimental Medicine and Biology (AEMB, volume 823)

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Table of contents (14 chapters)

  1. Front Matter

    Pages i-xvi
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  2. Signal Analysis

    1. Front Matter

      Pages 1-1
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    2. Visual Analytics of Signalling Pathways Using Time Profiles

      • David K. G. Ma, Christian Stolte, Sandeep Kaur, Michael Bain, Seán I. O’Donoghue
      Pages 3-22

    3. Modeling of Testosterone Regulation by Pulse-Modulated Feedback

      • Per Mattsson, Alexander Medvedev
      Pages 23-40

    4. Hybrid Algorithms for Multiple Change-Point Detection in Biological Sequences

      • Madawa Priyadarshana, Tatiana Polushina, Georgy Sofronov
      Pages 41-61

    5. Stochastic Anomaly Detection in Eye-Tracking Data for Quantification of Motor Symptoms in Parkinson’s Disease

      • Daniel Jansson, Alexander Medvedev, Hans Axelson, Dag Nyholm
      Pages 63-82

    6. Identification of the Reichardt Elementary Motion Detector Model

      • Egi Hidayat, Alexander Medvedev, Karin Nordström
      Pages 83-105

    7. Multi-complexity Ensemble Measures for Gait Time Series Analysis: Application to Diagnostics, Monitoring and Biometrics

      • Valeriy Gavrishchaka, Olga Senyukova, Kristina Davis
      Pages 107-126

    8. Development of a Motion Capturing and Load Analyzing System for Caregivers Aiding a Patient to Sit Up in Bed

      • Akemi Nomura, Yasuko Ando, Tomohiro Yano, Yosuke Takami, Shoichiro Ito, Takako Sato et al.
      Pages 127-142

    9. Classifying Epileptic EEG Signals with Delay Permutation Entropy and Multi-scale K-Means

      • Guohun Zhu, Yan Li, Peng (Paul) Wen, Shuaifang Wang
      Pages 143-157

    10. Tracking of EEG Activity Using Motion Estimation to Understand Brain Wiring

      • Humaira Nisar, Aamir Saeed Malik, Rafi Ullah, Seong-O Shim, Abdullah Bawakid, Muhammad Burhan Khan et al.
      Pages 159-174

  3. Image Analysis

    1. Front Matter

      Pages 175-175
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    2. Towards Automated Quantitative Vasculature Understanding via Ultra High-Resolution Imagery

      • Rongxin Li, Dadong Wang, Changming Sun, Ryan Lagerstrom, Hai Tan, You He et al.
      Pages 177-189

    3. Cloud Based Toolbox for Image Analysis, Processing and Reconstruction Tasks

      • Tomasz Bednarz, Dadong Wang, Yulia Arzhaeva, Ryan Lagerstrom, Pascal Vallotton, Neil Burdett et al.
      Pages 191-205

    4. Pollen Image Classification Using the Classifynder System: Algorithm Comparison and a Case Study on New Zealand Honey

      • Ryan Lagerstrom, Katherine Holt, Yulia Arzhaeva, Leanne Bischof, Simon Haberle, Felicitas Hopf et al.
      Pages 207-226

    5. Digital Image Processing and Analysis for Activated Sludge Wastewater Treatment

      • Muhammad Burhan Khan, Xue Yong Lee, Humaira Nisar, Choon Aun Ng, Kim Ho Yeap, Aamir Saeed Malik
      Pages 227-248

    6. A Complete System for 3D Reconstruction of Roots for Phenotypic Analysis

      • Pankaj Kumar, Jinhai Cai, Stanley J. Miklavcic
      Pages 249-270

  4. Back Matter

    Pages 271-276
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Keywords

About this book

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 each of the applications. It can be used by those both at graduate and specialist levels.

Editors and Affiliations

  • Digital Productivity Flagship, CSIRO, Sydney, Australia

    Changming Sun, Tomasz Bednarz, Pascal Vallotton, Dadong Wang

  • The University of Aizu, Fukushima, Japan

    Tuan D. Pham

Bibliographic Information

  • Book Title: Signal and Image Analysis for Biomedical and Life Sciences

  • Editors: Changming Sun, Tomasz Bednarz, Tuan D. Pham, Pascal Vallotton, Dadong Wang

  • Series Title: Advances in Experimental Medicine and Biology

  • DOI: https://doi.org/10.1007/978-3-319-10984-8

  • Publisher: Springer Cham

  • eBook Packages: Biomedical and Life Sciences, Biomedical and Life Sciences (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2015

  • Hardcover ISBN: 978-3-319-10983-1Published: 24 November 2014

  • Softcover ISBN: 978-3-319-35902-1Published: 10 September 2016

  • eBook ISBN: 978-3-319-10984-8Published: 07 November 2014

  • Series ISSN: 0065-2598

  • Series E-ISSN: 2214-8019

  • Edition Number: 1

  • Number of Pages: XVI, 276

  • Number of Illustrations: 53 b/w illustrations, 60 illustrations in colour

  • Topics: Image Processing and Computer Vision, Biomedicine general, Life Sciences, general

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