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Analysis of hand-written text of patients with neurological disorders
Galáž, Zoltán ; Smékal, Zdeněk (oponent) ; Mekyska, Jiří (vedoucí práce)
The master‘s thesis deals with the analysis of the hand-written text. There is a design and a realization of a system for the purpose of diagnosing a Parkinson’s desease based on the analysis of hand-written text. The system consists from several modules and it is programmed in the programming environment of MATLAB. The first module provides pre-processing of the records to adjust records to the form suitable for the segmentation. Afterwards, the records are divided into those with signals onto the surface of the tablet and those with the signals above the surface of the tablet. In the next module the records are segmented by the two-phase metod of automatic segmentation.High-level featuresare calculated from the extracted features. The results of the statistical analysis are exported in the form suitable for the classification process. The classification is performed by the proposed model made in the programming environment of RapidMiner. The output of designed system is the trained model capable of automatic classification of the Parkinson’s disease by the analysis of the hand-written text.
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Podklady pro vznik metodické příručky pro kurz raftingu a vzdělávání pro obor ochrana obyvatelstva a pro potřeby vzdělávání složek Integrovaného záchranného systému
Moulík, Jiří ; Novotný, Petr (vedoucí práce) ; Bílý, Milan (oponent)
Název: Podklady pro vznik metodické příručky pro kurz raftingu a vzdělávání pro obor ochrana obyvatelstva a pro potřeby vzdělávání složek Integrovaného záchranného systému Cíl práce: Na základě výběru zdrojů, sběru informací a závěrečné syntézy poznatků, vytvořit podklady pro vznik metodické příručky určené pro naplnění tematického plánu kurzu Rafting a záchrana na divoké vodě se zaměřením na ochranu obyvatel a pro potřeby vzdělávání složek Integrovaného záchranného systému. Metody: Bakalářská práce je rešeršní studií bez výzkumné činnosti. Jedná se o kvalitativní přehled relevantních informací, ze kterých jsou vyvozeny závěry bez jakékoli kvantitativní manipulace či analýzy. Hlavní metodou je vyhledávání zdrojů relevantních informací a provedení výběru konkrétních dat pro vytvoření podkladů pro vznik metodické příručky zařazené do vzdělávacího systému složek Integrovaného záchranného systému a vzdělávání v oboru Ochrana obyvatel v ČR. Klíčová slova: rafting, technika, taktika, záběry, záchrana na divoké vodě, ochrana obyvatel, Integrovaný záchranný systém
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Analysis of hand-written text of patients with neurological disorders
Galáž, Zoltán ; Smékal, Zdeněk (oponent) ; Mekyska, Jiří (vedoucí práce)
The master‘s thesis deals with the analysis of the hand-written text. There is a design and a realization of a system for the purpose of diagnosing a Parkinson’s desease based on the analysis of hand-written text. The system consists from several modules and it is programmed in the programming environment of MATLAB. The first module provides pre-processing of the records to adjust records to the form suitable for the segmentation. Afterwards, the records are divided into those with signals onto the surface of the tablet and those with the signals above the surface of the tablet. In the next module the records are segmented by the two-phase metod of automatic segmentation.High-level featuresare calculated from the extracted features. The results of the statistical analysis are exported in the form suitable for the classification process. The classification is performed by the proposed model made in the programming environment of RapidMiner. The output of designed system is the trained model capable of automatic classification of the Parkinson’s disease by the analysis of the hand-written text.
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Analysis of hand-written text of patients with neurological disorders
Galáž, Zoltán ; Smékal, Zdeněk (oponent) ; Mekyska, Jiří (vedoucí práce)
The master‘s thesis deals with the analysis of the hand-written text. There is a design and a realization of a system for the purpose of diagnosing a Parkinson’s desease based on the analysis of hand-written text. The system consists from several modules and it is programmed in the programming environment of MATLAB. The first module provides pre-processing of the records to adjust records to the form suitable for the segmentation. Afterwards, the records are divided into those with signals onto the surface of the tablet and those with the signals above the surface of the tablet. In the next module the records are segmented by the two-phase metod of automatic segmentation.High-level featuresare calculated from the extracted features. The results of the statistical analysis are exported in the form suitable for the classification process. The classification is performed by the proposed model made in the programming environment of RapidMiner. The output of designed system is the trained model capable of automatic classification of the Parkinson’s disease by the analysis of the hand-written text.
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