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ECG noise generator
Siegel, Jan ; Walek, Petr (referee) ; Smital, Lukáš (advisor)
The signal of ECG is interfered by the noise of different origin.. Most common are powerline interferences, baseline wandering, electromyographic and impuls noises. Such kind of noise is undesirable in signal since they decrease diagnostic yield in ECG. For effective removal of noise, we must detect the type of interference consequently use its theorists properties for specific filtration. The aim of this work is to creat a technical tool - ECG noise generator. ECG noise generator is being used for simulation of signal with defined parameters and type of noise. This noise generator can be employed for the verification of techniques designed for the elimination of interferences or the identification of the noise present in the unknown signal.
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Mathematic Modelling of Reverse Osmosis System Design for Detection of Estrogens in Water
Siegel, Jan ; Skopalík, Josef (referee) ; Bittner, Michal (advisor)
Estrogen compounds are a subgroup of the environmental pollutants named Endocrine Disrupting Chemicals. It is a large group of chemicals which are capable of causing hormonal imbalance of an organism and affecting its reproductive, developmental or behavioral functions. In the environment, they are found in very low concentrations (below ng/l). This makes their detection and elimination highly problematic. The Research Centre for Toxic Compounds in the Environment (RECETOX) has been developing an experimental device which employes reverse osmosis (RO) to concentrate the trace amounts of micropollutants (e.g. estrogens). The aim is to lower the detection limit of subsequent analytical methods. RO seems to be a promising alternative to commonly used methods which are more time consuming and costly. The aim of this thesis is to create a mathematical model of RO, which would describe the process of estrogen concentration and therefore could contribute to the optimization of experimental device. The mathematical model was created in MATLAB-simulink and verified by comparison to thirteen experimental results. The solutions used to test the model were NaCl at 0.002–2 g/l and drinking water with 17-ethinylestradiol of 25 ng/l. In order to concentrate the retentate on a flat-sheet RO membrane the model achieves a mean relative error in the range of 0.9–4.9 % for NaCl and drinking water. For the concentration of estrogens the deflection is 3.6 %. Comparing the model and experimental concentration of NaCl on a spiral wound RO-membrane, the deviation is in the range of 5.9–8.7 %. So far, ratio of retentate volume from the beginning to the end of the process has been used to determine the process recovery. However, due to the results obtained in the thesis, this approach appears inaccurate. A more accurate recovery would likely be achieved by using the theoretical concentration value obtained by the proposed mathematical model. However, to increase reliability, the further measurements with estrogens are needed, and also to determine the causes of deflection of model and experimental retentate volume values at the end of the concentration
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Mathematic Modelling of Reverse Osmosis System Design for Detection of Estrogens in Water
Siegel, Jan ; Skopalík, Josef (referee) ; Bittner, Michal (advisor)
Estrogen compounds are a subgroup of the environmental pollutants named Endocrine Disrupting Chemicals. It is a large group of chemicals which are capable of causing hormonal imbalance of an organism and affecting its reproductive, developmental or behavioral functions. In the environment, they are found in very low concentrations (below ng/l). This makes their detection and elimination highly problematic. The Research Centre for Toxic Compounds in the Environment (RECETOX) has been developing an experimental device which employes reverse osmosis (RO) to concentrate the trace amounts of micropollutants (e.g. estrogens). The aim is to lower the detection limit of subsequent analytical methods. RO seems to be a promising alternative to commonly used methods which are more time consuming and costly. The aim of this thesis is to create a mathematical model of RO, which would describe the process of estrogen concentration and therefore could contribute to the optimization of experimental device. The mathematical model was created in MATLAB-simulink and verified by comparison to thirteen experimental results. The solutions used to test the model were NaCl at 0.002–2 g/l and drinking water with 17-ethinylestradiol of 25 ng/l. In order to concentrate the retentate on a flat-sheet RO membrane the model achieves a mean relative error in the range of 0.9–4.9 % for NaCl and drinking water. For the concentration of estrogens the deflection is 3.6 %. Comparing the model and experimental concentration of NaCl on a spiral wound RO-membrane, the deviation is in the range of 5.9–8.7 %. So far, ratio of retentate volume from the beginning to the end of the process has been used to determine the process recovery. However, due to the results obtained in the thesis, this approach appears inaccurate. A more accurate recovery would likely be achieved by using the theoretical concentration value obtained by the proposed mathematical model. However, to increase reliability, the further measurements with estrogens are needed, and also to determine the causes of deflection of model and experimental retentate volume values at the end of the concentration
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ECG noise generator
Siegel, Jan ; Walek, Petr (referee) ; Smital, Lukáš (advisor)
The signal of ECG is interfered by the noise of different origin.. Most common are powerline interferences, baseline wandering, electromyographic and impuls noises. Such kind of noise is undesirable in signal since they decrease diagnostic yield in ECG. For effective removal of noise, we must detect the type of interference consequently use its theorists properties for specific filtration. The aim of this work is to creat a technical tool - ECG noise generator. ECG noise generator is being used for simulation of signal with defined parameters and type of noise. This noise generator can be employed for the verification of techniques designed for the elimination of interferences or the identification of the noise present in the unknown signal.
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