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Assessment of Parkinson’s Disease Based on Acoustic Analysis of Hypokinetic Dysarthria
Galáž, Zoltán ; Brezany, Peter (referee) ; Sklenář, Jaroslav (referee) ; Mekyska, Jiří (advisor)
Hypokinetická dysartrie (HD) je častým symptomem vyskytujícím se až u 90% pacientů trpících idiopatickou Parkinsonovou nemocí (PN), která výrazně přispívá k nepřirozenosti a nesrozumitelnosti řeči těchto pacientů. Hlavním cílem této disertační práce je prozkoumat možnosti použití kvantitativní paraklinické analýzy HD, s použitím parametrizace řeči, statistického zpracování a strojového učení, za účelem diagnózy a objektivního hodnocení PN. Tato práce dokazuje, že počítačová akustická analýza je schopná dostatečně popsat HD, speciálně tzv. dysprozodii, která se projevuje nedokonalou intonací a nepřirozeným tempem řeči. Navíc také dokazuje, že použití klinicky interpretovatelných akustických parametrů kvantifikujících různé aspekty HD, jako jsou fonace, artikulace a prozodie, může být použito k objektivnímu posouzení závažnosti motorických a nemotorických symptomů vyskytujících se u pacientů s PN. Dále tato práce prezentuje výzkum společných patofyziologických mechanizmů stojících za HD a zárazy v chůzi při PN. Nakonec tato práce dokazuje, že akustická analýza HD může být použita pro odhad progrese zárazů v chůzi v horizontu dvou let.
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Detection of face parts in the thermographic spectrum
Šujan, Miroslav ; Smékal, Zdeněk (referee) ; Mekyska, Jiří (advisor)
Master´s thesis deals with current problems of face detection and its parts in the infrared thermographic spectrum. Most previously published literature deals with the detection in the visible spectrum, making the thermographic detection range an interesting alternative. The work deals with the processing of image signals, images and faces in thermographic spectrum, selected methods of face detection and its parts and also deals with practical system design for detecting facial parts in this spectrum and its subsequent testing.
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Making OpenType fonts with free software
Bednár, Peter ; Mekyska, Jiří (referee) ; Rajmic, Pavel (advisor)
In thesis themes of typography and computer font of OpenType format is described in details. At the beginning attention is paid to historical development of typeface, where stress is laid mainly on development of Roman and white letter with their characteristics. Having presented basis of typography work is concentrated on topic of digital font with emphasis on possibilities of OpenType format. Further its characteristics and advantages were listed compared to another formats and it was evaluated as format appropriate also for creating font in education process. Letterspacing and kerning were mentioned between basic graphical modifications in creating fonts. In theoretical part of the thesis they were examined in available programs designed for creating font in OpenType format. Except free available means into summary were included also commercial types due to absence of more advanced instruments and functions with free available applications. In evaluation was found that the most convenient for education is Fontlab Fontographer commercial program, free Type lite and Fontforge indicated for Open-source platform. Practical part of the thesis is focused on two chosen programs for creating main font characteristics. The goal was to detect if it is possible to reach identical results when using both programs. Fontographer program enabled to use wide tool palette dedicated to vector graphic processing by means of Adobe Illustrator similar instrument. In the case of Type lite program there were rather less instruments, what is sufficient for elementary work and familiarization with creating of digital typeface. Freeware shortage is basic absence of kerning, spacing or hinting functions. Comparing program possibilities, it falls that freeware programs based on OS Windows with their functionality are sufficient only for entry level users. The best option within free available programs is Fontforge for OS Linux which supports mentioned typographic functions. Fontographer was recommended for teaching of basic characteristics of OpenType font format. Another goal of the thesis was creating of recommended work procedure for creating basic characteristics of OpenType font for students, that is enclosed at the end of the thesis.
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Structural and functional connectivity assessment in patients with Parkinson's disease
Klobušiaková, Patrícia ; Keller, Jiří (referee) ; Mekyska, Jiří (advisor)
Early changes in visuospatial functions predict dementia in Parkinson’s disease (PD). The aim of this work is to assess both structural and functional connectivity of the fasciculus longitudinalis inferior (ILF), which is engaged in visuospatial processing, in PD patients in comparison to healthy controls, and to find associations between connectivity changes and cognitive performance in the patient groups with or without mild cognitive impairment (MCI). To achieve our goal we recruited PD patients with normal cognition (PD-NC, n = 23) and PD with MCI (PD-MCI, n = 21) as well as healthy controls (HC, n = 48). Bidirectional iterative parcellation was used to isolate ILF tracts and their respective endpoints (occipital lobe and anterior temporal lobe) in each subject. The endpoints then served as regions of interest for functional connectivity calculation. We found ILF microstructural connectivity impairment in PD-MCI group, as measured by mean diffusivity, fractional anisotropy and radial diffusivity. In addition, the functional connectivity of ILF tracts was decreased already in the PD-NC. Both structural and functional connectivity deterioration was associated with visuospatial dysfunction in PD-MCI. These changes could serve as potential markers of disease progression or treatment effects monitoring.
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Image fusion in thermal spectrum
Petrásek, Daniel ; Dvořák, Pavel (referee) ; Mekyska, Jiří (advisor)
In this paper, there is mentioned necessary theory of image processing and fusion, which belongs to a group of the most used ways of image processing in the present. In the first part there is mentioned basic findings of image and electromagnetic spectrum. In the second part there is discussed some facts of infrared radiation, thermal cameras, then it is continued with elementary methods of image focus evaluation, segmentation and noise thresholding. In next part there is introduced scheme of image fusion system and basic idea of its implementation. In the end of this thesis there is described implemented system of image fusion, detailed description of reached results, thesis rating and few ideas of improving whole system.
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Diagnosis and progress monitoring of Parkinson’s disease using dysgraphia analysis methods
Markovič, Michal ; Galáž, Zoltán (referee) ; Mekyska, Jiří (advisor)
Parkinson’s disease causes among other symptoms also writing disorder. Parkinson's dysgrafia is disease the writing of parkinsonics. The aim of the work is to show the importance of examinig the parametres of Parkinson's dysgrafia and to find writing parametres, which could distinguish healthy subjects from the pacient and also it could monitoring progress of pakinson's disease. Some of the parametrs showed marked differences and therefore could distinguish healthy people from those with Parkinson’s disease.
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Education-supporting interactive applets
Korbel, Jakub ; Mekyska, Jiří (referee) ; Rajmic, Pavel (advisor)
This bachelor theses is focused to the support of education in branch of image processing. The teoretic part deals with mathematics view to this problematic. The pratical part is focused to creating of web applets (tools for supporting of education) - applets Gamma correction, Rate shape, Bit plane, Numeric minimization convex function.
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State of the art speech features used during the Parkinson disease diagnosis
Bílý, Ondřej ; Smékal, Zdeněk (referee) ; Mekyska, Jiří (advisor)
This work deals with the diagnosis of Parkinson's disease by analyzing the speech signal. At the beginning of this work there is described speech signal production. The following is a description of the speech signal analysis, its preparation and subsequent feature extraction. Next there is described Parkinson's disease and change of the speech signal by this disability. The following describes the symptoms, which are used for the diagnosis of Parkinson's disease (FCR, VSA, VOT, etc.). Another part of the work deals with the selection and reduction symptoms using the learning algorithms (SVM, ANN, k-NN) and their subsequent evaluation. In the last part of the thesis is described a program to count symptoms. Further is described selection and the end evaluated all the result.
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Virtual reality as a tool for diagnosis and therapy in medicine
Kadlec, Jiří ; Mekyska, Jiří (referee) ; Mucha, Ján (advisor)
The use of virtual reality (VR) in the diagnosis and treatment of severe neurodegenerative or neurodevelopmental diseases is a potential alternative to standard methods and is now the subject of many studies and research. One of the objectives of the thesis is a detailed research and analysis of this usage. Another objective is to research and analyze the options of developing VR applications. The main objective of the thesis is the design and implementation of VR application for therapy and diagnosis of patients with Parkinson's disease. The application contain an adaptive environment and three designed exercises based on existing methods for diagnosis and therapy of patients with PD. Among other things, the application also allow you to store exercise data (such as position and rotation data of controls etc.). The implementation was done in the Unity engine with C# as a programming language, with an emphasis on patient adaptation and minimizing the development of VR disease.
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Acoustic analysis of Mozart effect and its effect in patients with epilepsy
Zemánek, Václav ; Mekyska, Jiří (referee) ; Kiska, Tomáš (advisor)
The music, in generaly, can calm down a human internally. The effect of Mozart’s music can even be measured. Students, who listened Mozart’s music, had higher IQ result and epileptiform activity is describing on patients with epilepsy. This master’s thesis is dealing with design of the evaluation system, which can determine music parameters describing epileptiform activity. In the solution is make detailed analysis of the tracks, signal parameterization, description of data processing and make the Pearson correlation analysis. In the final chapter are described music parameters, which suppress epileptiform activity in the women and the man.
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