Medical Signal Processing

Aim:
This course covers the fundamentals of digital signal processing topics related to biomedical research and clinical medicine. The course introduces and explores concepts of analyzing and processing signals of biological systems using advanced mathematics. The course will examine the mathematical concepts of low-level signal and high dimensional image processing/analysis (e.g., enhancement and segmentation) and move to quantitative processing such as registration and diagnosis.
Course contents:
Overview of biomedical signals, Fourier transforms review and different filter design approaches, artifact removal and noise suppression (e.g., frequency filtering, regression, noise-cancellation, PCA, ICA), statistical inference on bio-signals and images, Time-domain analysis, Frequency-domain analysis (spectrograms) and wavelet analysis, modelling of bio-biomedical systems, pattern classification and diagnostic decisions.