Lecture: Signal analysis and modeling of biological systems

prof. Arturo Moleti


 Acquisition techniques dedicated to biological signals: Noise and interference. SNR, averaging, artifacts, differential techniques. Linear and nonlinear systems.
Biological signal analysis: Fourier analysis. Time-Frequency analysis. Applications to biological signal filtering.
Modeling human physiology: A specific example: cochlear mechanics and otoacoustic emissions (OAEs). How mathematical modeling helps developing advanced acquisition and analysis techniques. Experimental data acquisition and analysis sessions using Labview and Matlab.