Description :
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.
Content :
Preface. I. METHODS—Foundations of Medical Imaging and Signal Recording. Spectral Transformations. Information Theory and Principal Component Analysis. Independent Component Analysis and Blind Source Separation. Dependent Component Analysis. Pattern Recognition Techniques. Fuzzy Clustering and Genetic Algorithms. II. APPLICATIONS—8. Exploratory Data Analysis Methods for fMRI. Low-frequency Functional Connectivity in fMRI. Classification of Dynamic Breast MR Image Data. Dynamic Cerebral Contrast-enhanced Perfusion MRI. Skin Lesion Classification. Microscopic Slice Image Processing and Automatic Labeling. NMR Water Artifact Removal. References. Index No Related Books
Books by the same Author :
|
ADVERTISING
