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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. The book
also gives an understanding of feature extraction, feature ranking,
and feature selection methods, while also demonstrating how to
apply artificial intelligence and machine learning to biosignal
techniques.
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