Pasivní monitorování plodu prostřednictvím pokročilých metod zpracování a analýzy plodové fonokardiografie
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Vysoká škola báňská - Technická univerzita Ostrava
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Abstract
Heart rate variability is crucial for assessing fetal health. The diploma thesis proposes a complex system of processing and analysis of fetal phonocardiogram for obtaining fetal heart rate. The first part describes physiological and pathological heart function of a fetus, possibilities of scanning and typical properties of phonocardiogram of a fetus. The work also describes methods of adaptive wavelet transform, independent components analysis, empirical mode decomposition, ensemble empirical mode decomposition and Hilbert transform for signal processing and analysis. The system was implemented by using MATLAB software. To control the program, a graphical user interface was created in which it is possible to simulate basic types of noise and conduct signal filtering.
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fetal phonocardiography, MATLAB, adaptive wavelet transform, independent component analysis, empirical mode decomposition, ensemble empirical mode decomposition, Hilbert transform