Signal 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.
TOC:
Part I Signal Analysis
1. Visual Analytics of Signalling Pathways Using Time Profiles; David K. G. Ma, Christian Stolte, Sandeep Kaur, Michael Bain and Se´an I. O’Donoghue
2. Modeling of Testosterone Regulation by Pulse-modulated Feedback; Per Mattsson and Alexander Medvedev
3. Hybrid Algorithms for Multiple Change-Point Detection in Biological Sequence; Madawa Priyadarshana, Tatiana Polushina and Georgy Sofronov
4. Stochastic Anomaly Detection in Eye-Tracking Data for Quantification of Motor Symptoms in Parkinson’s Disease; Daniel Jansson, Alexander Medvedev, Hans Axelson and Dag Nyholm
5. Identification of the Reichardt Elementary Motion Detector Model; Egi Hidayat, Alexander Medvedev and Karin Nordström
6. Multi-Complexity Ensemble Measures for Gait Time Series Analysis: Application to Diagnostics, Monitoring and Biometrics; Valeriy Gavrishchaka, Olga Senyukova and Kristina Davis
7. 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, Akinobu Nemoto and Hiroshi Arisawa
8. Classifying Epileptic EEG Signals with Delay Permutation Entropy and Multi-Scale K-means; Guohun Zhu, Yan Li, Peng (Paul) Wen and Shuaifang Wang
9. 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 and Ahmad Rauf Subhani
Part II Image Analysis
10. Towards Automated Quantitative Vasculature Understanding via Ultra High-Resolution Imagery; Rongxin Li, Dadong Wang, Changming Sun, Ryan Lagerstrom, Hai Tan, You He and Tiqiao Xiao
11. Cloud Based Toolbox for Image Analysis, Processing and Reconstruction Tasks; Tomasz Bednarz, Dadong Wang, Yulia Arzhaeva, Ryan Lagerstrom, Pascal Vallotton, Neil Burdett, Alex Khassapov, Piotr Szul, Shiping Chen, Changming Sun, Luke Domanski, Darren Thompson, Timur Gureyev and John A. Taylor
12. 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 and David Lovell
13. Digital Image Processing and Analysis for Activated Sludge Wastewater Treatment; Muhammad Burhan Khan, Xue Yong Lee, Humaira Nisar, Choon Aun Ng, Kim Ho Yeap and Aamir Saeed Malik
14. A Complete System for 3D Reconstruction of Roots for Phenotypic Analysis; Pankaj Kumar, Jinhai Cai and Stan Miklavcic