Aplikace zpracování biomedicínských signálů na základě Wavelet transformace

Abstract

The aim of this thesis is to analyse the evaluation of the effectiveness of different parameters of Wavelet transform for artificially noisy medical signals with different intensities of noise by Gaussian white noise. This analysis is based on statistical methods. In the first phase, is created a clinical test database with medical signals, then is created an algorithm to add noise of different intensities by Gaussian white noise to the medical signals. Then the signals are filtered using the Wavelet transform and the results are analysed. All algorithms of partial parts were performed in MATLAB environment.