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E-raamat: Signal and Image Analysis for Biomedical and Life Sciences

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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.
Part I Signal Analysis
1 Visual Analytics of Signalling Pathways Using Time Profiles
3(20)
David K.G. Ma
Christian Stolte
Sandeep Kaur
Michael Bain
Sean I. O'Donoghue
2 Modeling of Testosterone Regulation by Pulse-Modulated Feedback
23(18)
Per Mattsson
Alexander Medvedev
3 Hybrid Algorithms for Multiple Change-Point Detection in Biological Sequences
41(22)
Madawa Priyadarshana
Tatiana Polushina
Georgy Sofronov
4 Stochastic Anomaly Detection in Eye-Tracking Data for Quantification of Motor Symptoms in Parkinson's Disease
63(20)
Daniel Jansson
Alexander Medvedev
Hans Axelson
Dag Nyholm
5 Identification of the Reichardt Elementary Motion Detector Model
83(24)
Egi Hidayat
Alexander Medvedev
Karin Nordstrom
6 Multi-complexity Ensemble Measures for Gait Time Series Analysis: Application to Diagnostics, Monitoring and Biometrics
107(20)
Valeriy Gavrishchaka
Olga Senyukova
Kristina Davis
7 Development of a Motion Capturing and Load Analyzing System for Caregivers Aiding a Patient to Sit Up in Bed
127(16)
Akemi Nomura
Yasuko Ando
Tomohiro Yano
Yosuke Takami
Shoichiro Ito
Takako Sato
Akinobu Nemoto
Hiroshi Arisawa
8 Classifying Epileptic EEG Signals with Delay Permutation Entropy and Multi-scale K-Means
143(16)
Guohun Zhu
Yan Li
Peng (Paul) Wen
Shuaifang Wang
9 Tracking of EEG Activity Using Motion Estimation to Understand Brain Wiring
159(18)
Humaira Nisar
Aamir Saeed Malik
Rafi Ullah
Seong-O Shim
Abdullah Bawakid
Muhammad Burhan Khan
Ahmad Rauf Subhani
Part II Image Analysis
10 Towards Automated Quantitative Vasculature Understanding via Ultra High-Resolution Imagery
177(14)
Rongxin Li
Dadong Wang
Changming Sun
Ryan Lagerstrom
Hai Tan
You He
Tiqiao Xiao
11 Cloud Based Toolbox for Image Analysis, Processing and Reconstruction Tasks
191(16)
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
John A. Taylor
12 Pollen Image Classification Using the Classifynder System: Algorithm Comparison and a Case Study on New Zealand Honey
207(20)
Ryan Lagerstrom
Katherine Holt
Yulia Arzhaeva
Leanne Bischof
Simon Haberle
Felicitas Hopf
David Lovell
13 Digital Image Processing and Analysis for Activated Sludge Wastewater Treatment
227(22)
Muhammad Burhan Khan
Xue Yong Lee
Humaira Nisar
Choon Aun Ng
Kim Ho Yeap
Aamir Saeed Malik
14 A Complete System for 3D Reconstruction of Roots for Phenotypic Analysis
249(22)
Pankaj Kumar
Jinhai Cai
Stanley J. Miklavcic
Index 271