Advanced Methods in Biomedical Signal Processing and Analysis presents state of the art methods in biosignal processing, including recurrence quantification analysis, heart rate variability, analysis of the RRI time-series signals, joint time-frequency analyses, wavelet transforms and wavelet packet decomposition, empirical mode decomposition, modeling of biosignals, Gabor Transform, empirical mode decomposition. It also gives an understanding of feature extraction, feature ranking, and feature selection methods, as well as demonstrating how to apply artificial intelligence and machine learning to biosignal techniques.
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