This graduate course will follow mostly the "Bioelectrical Signal Processing in Cardiac and Neurological Applications", from Leif Sörnmo and Pablo Laguna, Academic Press.
The goal of the seminar is to give an overview of some of the main biomedical signal processing techniques, with clear emphasis to EEG and MEG. There, we should see something about modeling, artifact identification and removal, nonparametric and model-based spectral analysis, segmentation and joint time-frequency analysis. Some closer attention will be given as well to the analysis of event related data. Additional topics include independent component analysis, biorhythms and sleep and synchrony. The material for these extra topics in the form of several journal papers.
You need only the basic knowledge about probability and statistics, matrix algebra, and algorithms in order to follow the course. Basic neurophysiology and signal processing knowledge are a welcomed plus. The first lectures will be used to cover the necessary background.
To know how many persons are interested in the course, please register before September, the 14th (you can use WWWTopi or informally contact any of the organizers of the course).
Ricardo and Jarkko
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