Application of methods of mathematical statistics for analysing fetal heart sounds

OData support
Supervisor:
Dr. Hosszú Gábor
Department of Electron Devices

My dissertation is about the research of the analysis of the sound of the fetal heart and respiration.

I performed research on sound and sound digitization, the process of sound as a signal, and numerous mathematical signal processing and analytical tools, including Fourier transformation and Wavelet transformation. I made comparisons on the two transformations to determine which one is most suited for analyzing the audio file received. Additionally, I conducted research on the heart and respiratory function of fetuses to find out how the fetuses can behave in the womb.

I applied the two transformations to fetal heart and respiraton tone recording using the Matlab software. In Matlab, I created a framework that outlines the resulting Fourier Transform and the Wavelet Transform 3D Chart. Calculate the greatest changes in the audio file using the algorithm I made in the matrix generated by Wavelet transformation. It is an analysis of the likelihood of imitating breathing and hicupps of the fetuses.

Downloads

Please sign in to download the files of this thesis.