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Data Analysis, Signal and Image Processing, Biomedical Engineering, Artificial Intelligence

Our group focuses on the advanced digital signal processing technology and nonlinear methods for analysis of biomedical signals generated from the complex physiological mechanics. The related research topics cover artifact removal, adaptive filtering, spatial-temporal analysis, spectral analysis, time-frequency representation, fractal analysis, signal decomposition, feature extraction, and signal classification.