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Research of speech features quantifying diadochokinetic (DDK) tasks
Kukučka, Peter ; Smékal, Zdeněk (referee) ; Mekyska, Jiří (advisor)
Speech processing methods were studied to calculate parameters of pacient with Parkinon's disease. Main focus of this work is to examine diadochokinetic (DDK) tests. Algorithm for parameters extraction was proposed. It works in more parts. DC is removed from speech signal, preemphasis aplicated. Envelope of input signal is calculated, peaks of syllables are detected. Parameters and statistical results of Mann-Whitney U~test are calculated from detected peaks. Proposed algorithm is implemented in Matlab.
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Identification of sleep disorders based on actigraphy data and sleep diaries
Molík, Miroslav ; Mekyska, Jiří (referee) ; Mikulec, Marek (advisor)
This master’s thesis deals with prediction of Parkinson's disease using sleep parameters from actigraphy and sleep diaries. The goal is to design a machine learning approach, which will be able to recognize pacients suffering from Parkinson's disease. For training dataset supplied by St. Anne's University Hospital Brno was used, which was variously modified for achieving best possible results. These adjustments were evaluated according to the results of the trained models and based on these results, two models (achieving test accuracies of 85 and 82%) were selected.
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Application for the calculation of speech features describing hypokinetic dysarthria
Hynšt, Miroslav ; Mekyska, Jiří (referee) ; Kiska, Tomáš (advisor)
This thesis is about design and implementation of application for computing speech parameters on people with Parkinson disease. At the beginning is generaly described Parkinson disease and Hypokinetic dysarthria and how it affects the speech and speech parameters when it occurs. Mainly there are described areas of speech like phonation, prosody, articulation and fluent speech. As a part of next topic this thesis describes specific speech parameters with bigger meaning during diagnosis Parkinson disease and it's progress over the time. There are also mentioned few significant studies dealing with examination of speech of the subjects with diagnoses of Parkinson disease and computing some speech parameters in order to analyze their speech impairments. Part of the thesis is description of implemented standalone application for calculating, exporting and visualizing of speech parameters from selected sound records.
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Movement Abnormalities Classification using Genetic Programming
Chudárek, Aleš ; Mrázek, Vojtěch (referee) ; Drahošová, Michaela (advisor)
When suppressing the symptoms of Parkinson's disease, the correct dosage of drugs is critical for the patient. Improper dosing can either cause insufficient suppression of symptoms or, conversely, side effects, such as dyskinesia, occur with high doses. Dyskinesia is manifested by involuntary muscle movement. This work deals with the automated classification of dyskinesia from motion data recorded using a triaxial accelerometer located on the patient's body. In this work, the classifier of dyskinesia is automatically designed using Cartesian genetic programming. The designed classifier achieves very good quality of classification of severe dyskinesia (AUC = 0,94), which is a comparable result to the techniques presented in scientific literature.
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The influence of deep brain stimulation on the brain connectivity
Horváthová, Ľubica ; Výtvarová, Eva (referee) ; Klimeš, Petr (advisor)
Hĺbková mozgová stimulácia (DBS) predstavuje účinnú liečbu pre pacientov s Parkinsonovou chorobou (PD) alebo farmakorezistentnou epilepsiou. Avšak mechanizmy, ktorými znižuje počet záchvatov a zlepšuje pohyb, zostávajú ešte do značnej miery neznáme. Pre lepšie pochopenie a určenie, v ktorých frekvenčných pásmach je zmena najdôležitejšia, boli urobené porovnania medzi vypnutou a zapnutou DBS pomocou korelačnej metódy a indexu fázového posunu. Jedenásť pacientov s PD a naimplantovanými neurostimulátormi z firiem Medtronic a St.Jude Medical bolo predmetom nahraných dát použitých v tejto práci. Výsledky dokazujú, že zmena konektivity počas DBS nastane a zároveň, že najviac ovplyvňuje najvyššie frekvencie ako beta, nízka gama a vysoká gama. Zmeny v týchto frekvenciách, zodpovedné za motorickú aktivitu, sústredenie a spracovanie informácií, sú v súlade s klinickou teóriou o PD. Počas tejto choroby je patologická beta aktivita hypersynchronizovaná a gama aktivita je znížená práve v motorických oblastiach. Ak sa gama aktivita počas zapnutej stimulácie zvyšuje, fyziologický stav pacientov sa čiastočne znovuobnovuje a tým zlepšuje ich hybnosť. Metódy a výsledky tejto práce budú použité pre ďalší výskum pacientov s PD a epilepsiou.
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Django framework based web application for objective analysis of hypokinetic dysarthria
Čapek, Karel ; Zvončák, Vojtěch (referee) ; Galáž, Zoltán (advisor)
This master´s thesis deals with the calculation of parameters that would be able to differentiate healthy speech and speech impaired by hypokinetic dysarthria. There was staged hypokinetic dysarthria, which is a motoric disorder of speech and vocal tract. Were studied speech signal processing methods. Further parameters were studied, which could well differentiate healthy and diseased speech. Subsequently, these parameters were programmed in Python programming language. The next step was to create a web application in Django framework, which is used for the analysis of the dyzartic speech.
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De-identification of speakers with hypokinetic dysarthria
Kárník, Radoslav ; Kiska, Tomáš (referee) ; Mekyska, Jiří (advisor)
This paper discuses design and implementation of a system that performs de-identification of speech recordings of patients suffering from Parkinson's disease. The paper describes causes and symptoms of Parkinson's disease and effects of hypokinetic dysarthria on speech. Part of the paper is devoted to speech features that can be used for diagnosing hypokinetic dysarthria from speech. It also describes ways of speech de-identification and system for evaluating results using recognition of speakers and patients. De-identification system uses vocal tract length normalization (VTLN) and evaluating system uses Gaussian mixture models (GMM). PARCZ database was used for testing. It contains recordings of speech of patients affected by Parkinson's disease and control speakers.
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Acoustic analysis of gender-related patterns in Parkinson's disease
Herinek, Denis ; Kiska, Tomáš (referee) ; Galáž, Zoltán (advisor)
The bachelor's thesis is about acoustic analysis of gender-related patterns in Parkinson's disease by analysing speech task: reading passage. Parkinson's disease manifests in all subsystems involved in speech production (respiration, phonation, articulation and prosody). The aim of this thesis is familirization with symptoms of this disorder and speech parameters influenced by this disorder. Thesis contains preprocessing, parametrization of speech signal and statistic analysis of parameters. System of speech signal processing is created in MATLAB programming language.
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Effects of gluten-free diet on immune parameters in Parkinson's disease
Jandová, Mônica ; Funda, David (advisor) ; Dobeš, Jan (referee)
Tato studie zkoumá možné, i malé, vlivy bezlepkové diety v porovnání se standardní dietou na rozvoj Parkinsonovi nemoci s využitím 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridinem (MPTP) indukovaném myším modelu Parkinsonovi nemoci, a samců kmene C57Bl6. Tento výzkum zahrnuje zavedení jak akutního tak chronického myšího MPTP modelu, a řadu navazujících flow cytometrických analýz zaměřených na regulační T buňky, cytokiny - interleukin 10 (IL-10) a interferon gama (IFN-), gamma/delta T buňky, a NK buňky ve slizničních a sytémových lyfatických orgánech. Pro posouzení vlivu na chování jse použili test otevřeného pole, který nám umožnil posoudit lokomotorickou aktivitu a explorativní chování myší v závislosti na podávané dietě. Dále jsem použili také imunofluorescenční barveni pro validaci efektu MPTP, které nám poskytlo vizuální potvrzeni neuroanatomických změn indukovaných neurotoxinem. První výsledky naznačují malé ale slibné známky pozitivních efektů bezlepkové diety. Nicméně tyto změny lze pouze opatrně interpretovat, protože je potřeba opakovaných a podrobnějších experimentů k posouzení zazanmenaných efektů. Spojení behaviorálních testů, imunohistologie a imunologických analýz představuje vícečetný metodicky přístup k této problematice, který nám může poodhalit komplexní interakce diety, střeva,...
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Aerobic training in the treatment of gait disorders in patients with Parkinson's disease
KOCÁBKOVÁ, Štěpánka
This bachelor thesis investigates the effect of aerobic training on gait disorders in patients with Parkinson's disease. The specific features of gait in this disease are short, shuffling steps, slowed movement, impaired balance and reduced upper limb synkinesis. All of these features can, apart from the application of medication, be influenced to some extent by regular exercise. The aim of this bachelor thesis was to design a suitable exercise unit for these patients and to describe the effect of aerobic training on gait disorders. The theoretical part is an introduction to the issue of Parkinson's disease. Subchapters describe the definition, incidence, research history, anatomy and physiology of the basal ganglia, etiology, clinical features, stages, diagnosis and treatment. Furthermore, there is compared gait analysis of Parkinson's disease patients with healthy individuals and what the term aerobic training means. The practical part is processed in the form of qualitative research. Based on the input examination of three patients diagnosed with Parkinson's disease, I created an exercise unit, which can be found in Appendix 3. After three months, I did an output examination and compared if the created exercise unit had a positive effect in gait disorders or not. From the results, the positive effect of aerobic training on gait disorder in Parkinson's disease patients could not be clearly demonstrated. For a valid result, research would need a larger number of patients. However, patients evaluated the exercise unit positively and I believe that this work could find further application, for example in the clinical practice of physiotherapists or as an educational material for patients with Parkinson's disease and their family members.
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