corso|33485

The course provides the student with advanced methods for extracting features from biomedical signals, both in the time and frequency domains, with particular regards on digital filters, multivariate analysis, time-frequency and time-scale spectral methods, examples of electroencephalographic, electrocardiographic, photoplethysmographic, and skin conductance signal processing. The course also provides basic tools for biomedical signal classification for brain-computer interface applications, such as LDA, SVM and clustering elements.