|
|
Acoustic call analysis application for Android system
Hejda, Jakub ; Mucha, Ján (referee) ; Mekyska, Jiří (advisor)
The telemedicine’s capabilities are rapidly expanding due to technological advances in a smarphone development. The goal of this thesis was to suggest the architecture and prepare the design providing acquisition, processing and synchronization of voice para- meters recorded by patients with Parkinson’s disease and to implement such system. The architecture was completed successfully, it consists of the mobile application able to record patient’s calls, the server application introducing an interface to store and synchronize the data and to provide them to the web application, where doctors can see the data and analyze it. Implementation of the server application was finished according to the design and to the requirements for robustness and security as well as the web application. By an extension of the existing mobile application for recording voice calls there was developed a huge system for the analysis of this disease.
|
|
|
Analysis and Modelling of Medical Images
Vrba, Jan ; Mekyska, Jiří (referee) ; Smékal, Zdeněk (advisor)
The main objective of this thesis is an analysis of assessment techniques face, and cephalometric evaluation methods that are suitable for treatment of jaw position and design methods for treatment of jaw. At the same time the emphasis is on studying the methods,java advance imaging, which are used for the curvature of the image and should be able to meet the objectives of the assignment. These adjustments can be made using the Warp. Result of this work is an application developed in JAVA programming language, which demonstrates the best method for modifying the image. This method is WarpGrid. The application was made in the development environment eclipse. With this application, depending on the mouse action is possible to modify the image.
|
|
|
Acoustic analysis of sentences complicated for articulation in patients with Parkinson's disease
Kiska, Tomáš ; Smékal, Zdeněk (referee) ; Mekyska, Jiří (advisor)
This work deals with a design of hypokinetic dysarthria analysis system. Hypokinetic dysarthria is a speech motor dysfunction that is present in approx. 90 % of patients with Parkinson’s disease. 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, VAI, etc.). The work is mainly focused on parameterization techniques that can be used to diagnose or monitor this disease as well as estimate its progress. A protocol of dysarthric speech acquisition is described in this work too. In combination with acoustic analysis it can be used to estimate a grade of hypokinetic dysarthria in fields of faciokinesis, phonorespiration and phonetics (correlation with 3F test). Regarding the parameterization, new features based on method RASTA. The analysis is based on parametrization sentences complicated for articulation. Experimental dataset consists of 101 PD patients with different disease progress and 53 healthy controls. For classification with feature selection have selected method mRMR.
|
|
|
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.
|
|
|
Analysis of Expressive Music Performance using Digital Signal Processing Methods
Fančal, Petr ; Mekyska, Jiří (referee) ; Smékal, Zdeněk (advisor)
The aim of this master's thesis is the analysis of musical compositions from the standpoint of time resources of music. The introduction briefly describes the basic musicological terms and variables that are in direct relationship to the time resources in expressive music performance. The following part of the work is devoted to the known methods of digital signal processing, suitable for music information retrieval from audio recordings. In the practical part these methods are demonstrated on three recordings in MATLAB environment and the results were compared in terms of used agogics.
|
|
|
Analysis of Parkinson's disease using segmental speech parameters
Mračko, Peter ; Mekyska, Jiří (referee) ; Smékal, Zdeněk (advisor)
This project describes design of the system for diagnosis Parkinson’s disease based on speech. Parkinson’s disease is a neurodegenerative disorder of the central nervous system. One of the symptoms of this disease is disability of motor aspects of speech, called hypokinetic dysarthria. Design of the system in this work is based on the best known segmental features such as coefficients LPC, PLP, MFCC, LPCC but also less known such as CMS, ACW and MSC. From speech records of patients affected by Parkinson’s disease and also healthy controls are calculated these coefficients, further is performed a selection process and subsequent classification. The best result, which was obtained in this project reached classification accuracy 77,19%, sensitivity 74,69% and specificity 78,95%.
|
|
|
Analysis of Expressive Music Performance using Digital Signal Processing Methods
Ištvánek, Matěj ; Mekyska, Jiří (referee) ; Smékal, Zdeněk (advisor)
This diploma thesis deals with methods of the onset and tempo detection in audio signals using specific techniques of digital processing. It analyzes and describes the issue from both the musical and the technical side. First, several implementations using different programming environments are tested. The system with the highest detection accuracy and adjustable parameters is selected, which is then used to test functionality on the reference database. Then, an extension of the algorithm based on the Teager-Kaiser energy operator in the preprocessing stage is created. The difference in accuracy of both systems is compared – the operator has on average increased the accuracy of detection of a global tempo and inter-beat intervals. Finally, a second dataset containing 33 different interpretations of the first movement of Bedřich Smetana’s composition, String Quartet No. 1 in E minor "From My Life". The results show that the average tempo of the entire first movement of the song slightly decreases depending on the later year of the recording.
|
|
|
Statistic Characteristic Function and its Usage for Digital Signal Processing
Mžourek, Zdeněk ; Mekyska, Jiří (referee) ; Smékal, Zdeněk (advisor)
Aim of this thesis is provide basic information about characteristic function used in statistic and compare its properties with the Fourier transform used in engineering applications. First part of this thesis is theoretical, there are discussed basic concepts, their properties and mutual relations. The second part is devoted to some possible applications, for example normality testing of data or utilization of the characteristic function in independent component analysis. The first chapter describes the introduction to probability theory for the unification of terminology and mentioned concepts will be used to demonstrate the interesting properties of characteristic function. The second chapter describes the Fourier transform, definition of characteristic function and their comparison. The second part of this text is devoted to applications the empirical characteristic function is analyzed as an estimate of the characteristic function of examined data. As an example of application is describe a simple test of normality. The last part deals with more advanced applications of characteristic function for methods such as independent component analysis.
|
|
|
Mobile application for dysarthria assessment utilising the Test 3F
Grenčík, Dominik ; Mucha, Ján (referee) ; Mekyska, Jiří (advisor)
Speech dysarthria is a impaired communication ability, a motor disorder affecting basic modal aspects of speech. In the Czech Republic, Test 3F, developed in the current clinical speech therapy, is used in diagnostics in both text and electronic form, consisting of 45 execution tasks. Currently, the trend of using mobile applications is expanding in various areas of life, which speed up and streamline human communication and work. The aim of this work is to create a simple but high-quality and reliable mobile application of Test 3F as a diagnostic tool for the examination of speech dysarthria in an effort to help clinical speech therapy in simplifying the diagnosis of this disorder. Mobile application is programmed using several programming languages: Backend is programmed in PHP using the Laravel framework. Frontend is programmed in JavaScript using the React library and the Material UI component library.
|
|
|
Parametric and Non-parametric Statistical Methods and their Application
Mračko, Peter ; Mekyska, Jiří (referee) ; Smékal, Zdeněk (advisor)
This thesis deals with parametric statistical methods, which consist in testing hypotheses about the parameters of probability distributions. The thesis theoretically explains chosen probability distribution principles and test their parameters. Theoretical knowledge is explained with real examples that are solved using Matlab. The practical part consists in the use of statistical methods for evaluating parameters of patients who are handicapped by Alzheimer’s disease.
|
guest ::
RSS feed.