To learn the basic techniques in signal processing that are relevant for biomedical signals and to illustrate and learn the use of these techniques.
Throughout the lectures, we will encounter the following topics: biomedical signal genesis; signal representation; signal decomposition; source separation; AR estimation; Fourier analysis; frequency-time analysis; wavelets; sparse decomposition; data fusion; nonlinear methods. Examples of signal modalities we will consider: pulse oximetry, phonocardiography, ECG, EEG.
downloadable slides of the lectures
Rangayyan: Biomedical Signal Analysis: A Case-Study Approach,
Sörnmo and Laguna: Bioelectrical Signal Processing in Cardiac and Neurological Applications