The aim is the acquisition of the competencies for the processing and the classification of the biomedical signals. The students will be trained to understand the connections among the different techniques of signal processing. Special attention will be devoted to the extension of the signal processing competencies to the biomedical field.
teacher profile teaching materials
Materials on-line (notes, exercises, solutions. Download from Moodle).
Programme
Introduction to the course. Biomedical signals: Electroencephalography (EEG), Electromyography (EMG), Electrocardiography (ECG). Basic Elements of Signal Processing: representation in the Fourier domain, filtering, artifacts and noise rejection. Spectral estimation: non-parametric and parametric techniques. Time-frequency analysis: Short Time Fourier Transform and Spectrogram, Wavelet and Scalogram. Matlab Labs.Core Documentation
L. Sornmo, P. Laguna. Bioelectrical signal processing in cardiac and neurological applications. Elsevier Academic Press. 2005.Materials on-line (notes, exercises, solutions. Download from Moodle).