BIOMEDICAL SIGNAL ANALYSIS: CONTEMPORARY METHODS AND APPLICATIONS

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This book offers an overview of a range of proven and new methods, discussing both theoretical and practical aspects of biomedical signal analysis and interpretation. It describes a broad range of methods, including continuous and discrete Fourier transforms, independent component analysis (ICA), dependent component analysis, neural networks, and fuzzy logic methods. It also discusses the applications of these theoretical tools to practical problems in everyday biosignal processing. The book can be used as a text by the undergraduate as well as postgraduate students of the subject.

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ANKE MEYER-BASE is Associate Professor in the Department of Scientific Computing at Florida State University. FABIAN J. THEIS is head of the Computational Modeling in Biology Group at the Institute of Bioinformatics and Systems Biology, German Research Center for Environmental Health, Neuherberg, Germany. Table of Contents Preface I. METHODS 1. Foundations of Medical Imaging and Signal Recording 2. Spectral Transformations 3. Information Theory and Principal Component Analysis 4. Independent Component Analysis and Blind Source Separation 5. Dependent Component Analysis 6. Pattern Recognition Techniques 7. Fuzzy Clustering and Genetic Algorithms II. APPLICATIONS 8. Exploratory Data Analysis Methods for fMRI 9. Low-frequency Functional Connectivity in fMRI 10. Classification of Dynamic Breast MR Image Data 11. Dynamic Cerebral Contrast-enhanced Perfusion MRI 12. Skin Lesion Classification 13. Microscopic Slice Image Processing and Automatic Labeling 14. NMR Water Artifact Removal References Index