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‘Detection and Estimation Methods for Biomedical Signals’ discusses the most powerful signal detection and estimation methods in use and includes a disk of data sets and ANSII C source code for five useful computer programs. In addition, appendices of related computer programs are provided to help readers in applying the methods to their particular problems. This book includes numerous practical examples such as the detection of multiple sclerosis using the orthogonal expansion method, and the early detection of coronary artery disease and occlusions before and after angioplasty by the Eigenvector methods. Coverage includes four different wavelet transforms useful in biomedical signal processing, as well as biomedical applications of neural networks and chaos theory.