This course introduces the theory and practices of signal processing and system analysis with applications to biomedical fields. Fundamental topics covered are time and frequency domain analysis, preprocessing including filter design, power spectrum and time-frequency analysis including spectrogram, feature extraction, diagnostic testing, statistical analysis and clustering algorithms. Application examples and computer implementations will constitute an integral part of the learning process including electrocardiogram signals, pulse plethysmography, electroencephalogram, electromyography, near infrared spectroscopy. \\
\textbf{Course Objectives:} \\
1.Students will have a better understanding of the theory and methods of  \\
a. Biomedical signals, origins, data collection and analysis methods \\
b. Signal conditioning, and information extraction \\
2. Students will learn pre- and post-processing steps in biomedical applications \\
3. Students will, through examples, have exposure to basic biomedical signal processing applications.