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Correlation analysis of Parkinson's disease in the acoustic field
Vošček, Jakub ; Mekyska, Jiří (referee) ; Smékal, Zdeněk (advisor)
The topic of this bachelor thesis is the correlation analysis of Parkinson’s disease in the acoustic field. The first part is about the Parkinson disease and its symptoms. It looks closer on problems with speech production, which is called hypokinetic disarthria, and describes the causes of the problems as well as the kind of treatment that is used. The next part involves a study of the pre–processing of signal, i.e. removing the direct component, a preemphasis and a segmentation to smaller frames. Afterwards, individual parameters are calculated in the next step. It is also necessary to calculate simple statistics, for example a median, a standard deviation, etc. after the calculation of some parameters. The calculation of Pearson’s and Spearman’s correlation coefficients is included. Moreover, a block diagram for the data processing is suggested, which involves a description of the functions of the individual blocks. The program is explained in the practical part, which also features parts of the tables with parameters' values and the calculated coefficients. As the conclusion of the work, there are graphs which display correlations of the parameters and the paraclinical data.
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Optical fiber as a distributed temperature sensor
Vošček, Jakub ; Dejdar, Petr (referee) ; Münster, Petr (advisor)
The financial requirements between fiber optic sensors and conventional sensors are gradually declining, which, despite many advatages and wide range of applicationas, has slowed down the demand for these sensors. With the demand for fiber optic sensors also grow the requirements for the parameters of these sensors. This thesis deals with distributed temperature fiber optic sensors. Non--linear phenomen in optical fibers, such as Raman scattering is used for measuring with these sensors. This scatterin was used to obtain information about temperature, which effected the optical cable under the test.
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Optical fiber as a distributed temperature sensor
Vošček, Jakub ; Dejdar, Petr (referee) ; Münster, Petr (advisor)
The financial requirements between fiber optic sensors and conventional sensors are gradually declining, which, despite many advatages and wide range of applicationas, has slowed down the demand for these sensors. With the demand for fiber optic sensors also grow the requirements for the parameters of these sensors. This thesis deals with distributed temperature fiber optic sensors. Non--linear phenomen in optical fibers, such as Raman scattering is used for measuring with these sensors. This scatterin was used to obtain information about temperature, which effected the optical cable under the test.
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Correlation analysis of Parkinson's disease in the acoustic field
Vošček, Jakub ; Mekyska, Jiří (referee) ; Smékal, Zdeněk (advisor)
The topic of this bachelor thesis is the correlation analysis of Parkinson’s disease in the acoustic field. The first part is about the Parkinson disease and its symptoms. It looks closer on problems with speech production, which is called hypokinetic disarthria, and describes the causes of the problems as well as the kind of treatment that is used. The next part involves a study of the pre–processing of signal, i.e. removing the direct component, a preemphasis and a segmentation to smaller frames. Afterwards, individual parameters are calculated in the next step. It is also necessary to calculate simple statistics, for example a median, a standard deviation, etc. after the calculation of some parameters. The calculation of Pearson’s and Spearman’s correlation coefficients is included. Moreover, a block diagram for the data processing is suggested, which involves a description of the functions of the individual blocks. The program is explained in the practical part, which also features parts of the tables with parameters' values and the calculated coefficients. As the conclusion of the work, there are graphs which display correlations of the parameters and the paraclinical data.
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