Signal and Image Analysis for Biomedical and Life Sciences [Hardcover]

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; David K. G. Ma, Christian Stolte, Sandeep Kaur, Michael Bain and Se?an I. ODonoghue

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 Parkinsons 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 Nordstr?m

6. Multi-Complexity Ensemble Measures for Gait Time Series Analysis: Application to Diagnostics, Monl“¤