Pokročilé metody zpracování elektrokardiografie zvířat

Abstract

This diploma thesis is focused on ECG (electrocardiography) signal processing of different animal species for creation of heart rate curve, GUI (Graphical User Interface) and importance of heart rate variability in the field of veterinary medicine. Analysis of heart rate variability is not explored very well, but It can have huge impact in the field of animal training or milkiness of cows. The Measurement of electrocardiogram is loaded with motion artifacts, that is why this diploma thesis is comparing Filtration Methods and its evaluation. Proposed system for ECG signal processing combines filtration methods and algoritm based on continual wavelet transformation, which is used for R peak detection in this case. Study is realised on real dataset as noninvasive measurement of animal's heart rate, the measurement of data set was also part of this thesis. This thesis explores aalso other Methods for heart rate Assessment, for example balistocardiography or cardiotocography. The result proved that balistocardiography is not right tool for heart rate curve creation but cardiotocography has comparable results as extraction of heart rate curve from ECG.