Časově frekvenční analýza biomedicínských signálů

Abstract

This diploma thesis is focused on the creation of a learning module for the investigation of time-frequency analysis methods. Basic methods of analysis of biomedical signals in time-frequency domain with are presented. In the theoretical part are introduced spectral analysis methods and time-frequency analysis methods. In the practical part are described demonstration algorithms for calculation of frequency spectra by Fast Fourier transform. An analysis of their computational complexity is performed. For calculation of time-frequency spectra, the methods of Short-time Fourier transform, Wavelet transform and Winger-Ville distribution are selected. Algorithms of calculation of these methods are presented and quantitative analysis of dynamic noise intensity in context of time-frequency analysis is performed. In this thesis a graphical-user interface for teaching time-frequency analysis of bio signals was created and a test database of biomedical signals was created.