Ján Mucha

Ján Mucha
Brno University of Technology · Department of Telecommunications

Ph.D.

About

24
Publications
3,807
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134
Citations
Introduction
Jan Mucha is a leading researcher at the Brain Diseases Analysis Laboratory (BDALab) at the Department of Telecommunications of the Brno University of Technology (BUT) and part of the Human-Machine Interaction Group of the Signal Processing Laboratory (SPLab). He deals with the research of non-invasive neurodegenerative and neurodevelopmental disorders analysis based on handwriting processing, especially with advanced parametrization techniques focused on fractional calculus potential in it. In
Additional affiliations
September 2016 - October 2018
Brno University of Technology
Position
  • PhD Student
July 2016 - July 2020
Brno University of Technology
Position
  • PhD Student

Publications

Publications (24)
Article
Full-text available
Parkinson's disease dysgraphia (PDYS), one of the earliest signs of Parkinson's disease (PD), has been researched as a promising biomarker of PD and as the target of a noninvasive and inexpensive approach to monitoring the progress of the disease. However, although several approaches to supportive PDYS diagnosis have been proposed (mainly based on...
Preprint
Full-text available
Up to 90 % of patients with Parkinson's disease (PD) suffer from hypokinetic dysarthria (HD). In this work, we analysed the power of conventional speech features quantifying imprecise articulation, dysprosody, speech dysfluency and speech quality deterioration extracted from a specialized poem recitation task to discriminate dysarthric and healthy...
Presentation
Full-text available
HandAQUS - Handwriting Acquisition Software. Custom Software for the acquisition of handwritten data using Wacom Cintiq tablets. Uses Wintab API to communicate with the Wacom Driver. It collects raw pen data convenient for further analysis.
Presentation
Full-text available
Web application for immediate extraction of the pore sizes from the SEM images of the soft tissues. http://www.semipe.utko.feec.vutbr.cz/
Article
Introduction Hypokinetic dysarthria (HD) is common in Parkinson’s disease (PD). Our objective was to evaluate articulatory networks and their reorganization due to PD pathology in individuals without overt speech impairment using a multimodal MRI protocol and acoustic analysis of speech. Methods A total of 34 PD patients with no subjective HD comp...
Article
Full-text available
School-aged children spend 31–60%of their time at school performing handwriting, which is a complex perceptual-motor skill composed of a coordinated combination of fine graphomotor movements. As up to 30% of them experience graphomotor difficulties (GD), timely diagnosis of these difficulties and therapeutic intervention are of great importance. At...
Article
Full-text available
Graphomotor disabilities (GD) are present in up to 30% of school-aged children and are associated with several symptoms in the field of kinematics. Although the basic kinematic features such as velocity, acceleration, and jerk were proved to effectively quantify these symptoms, a recent body of research identified that the theory of fractional calc...
Conference Paper
The majority of Parkinson's disease (PD) patients suffer from handwriting abnormalities commonly called as Parkinsonic dysgraphia. Several approaches of PD dysgraphia analysis exist, e.g. based on online handwriting processing. However, a small and unilingual cohort of PD patients is often an issue in quantitative PD dysgraphia analysis studies. Th...
Presentation
Full-text available
The majority of Parkinson’s disease (PD) patients suffer from handwriting abnormalities commonly called as Parkinsonic dysgraphia. Several approaches of PD dysgraphia analysis exist, e.g. based on online handwriting processing. However, a small and unilingual cohort of PD patients is often an issue in quantitative PD dysgraphia analysis studies. Th...
Article
Full-text available
Parkinson's disease dysgraphia affects the majority of Parkinson's disease (PD) patients and is the result of handwriting abnormalities mainly caused by motor dysfunctions. Several effective approaches to quantitative PD dysgraphia analysis, such as online handwriting processing, have been utilized. In this study, we aim to deeply explore the impac...
Article
Full-text available
Hypokinetic dysarthria (HD) and freezing of gait (FOG) are both axial symptoms that occur in patients with Parkinson’s disease (PD). It is assumed they have some common pathophysiological mechanisms and therefore that speech disorders in PD can predict FOG deficits within the horizon of some years. The aim of this study is to employ a complex quant...
Article
Full-text available
Hypokinetic dysarthria, which is associated with Parkinson's disease (PD), affects several speech dimensions, including phonation. Although the scientific community has dealt with a quantitative analysis of phonation in PD patients, a complex research revealing probable relations between phonatory features and progress of PD is missing. Therefore,...
Conference Paper
Parkinson's disease (PD) is one of the most frequent neurodegenerative disorder with progressive decline in several motor and non-motor skills. Due to time-consuming and partially subjective conventional PD diagnosis, several more effective approaches based on signal processing and machine learning, e.g. online handwriting analysis, have been propo...
Conference Paper
Full-text available
Determining the place of origin of the musical compositions is a modern area of research in the field of music information retrieval (MIR). The musical interpretation of one piece carries a variety of author's intentions that influence the musical character of the resulting composition. These aspects may include rhythm, dynamics, timbre, or tonalit...
Article
Full-text available
Introduction: Hypokinetic dysarthria (HD) is a common symptom of Parkinson's disease (PD) which does not respond well to PD treatments. We investigated acute effects of repetitive transcranial magnetic stimulation (rTMS) of the motor and auditory feedback area on HD in PD using acoustic analysis of speech. Methods: We used 10 Hz and 1 Hz stimula...
Conference Paper
Parkinson’s disease (PD) is the second most frequent neurodegenerative disorder. One typical hallmark of PD is disruption in execution of practised skills such as handwriting. This paper introduces a new methodology of kinematic features calculation based on fractional derivatives applied on PD handwriting. Discrimination power of basic kinematic f...
Conference Paper
Hypokinetic dysarthria (HD) and freezing of gait (FOG) are frequent symptoms of Parkinson's disease (PD). The aim of this work is to reveal pathological mechanisms common for HD and FOG, and use acoustic analysis of dysarthric speech to assess the gait difficulties in PD. We used a correlation analysis to investigate a relationship between speech f...
Conference Paper
Up to 90% of patients with Parkinson's disease (PD) suffer from hypokinetic dysarthria (HD). In this work, we analysed the power of conventional speech features quantifying imprecise articulation, dysprosody, speech dysfluency and speech quality deterioration extracted from a specialized poem recitation task to discriminate dysarthric and healthy s...

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Projects

Projects (3)
Project
The goal of the project is to develop a psychological diagnostic method for evaluation of graphomotor disabilities. Currently, the dysgraphia diagnosis is based on the subjective assessment of experts. The proposed software will provide the objective acquisition and interpretation of parameters linked to graphomotor disabilities, based on children’s drawings and handwriting. This data will be processed by mathematical modeling of behavioral, socio-demographic and clinical data, which will be used to produce a visualization that displays the severity of the disability on a scale. The outcome will be objective, accurate, and valid diagnostics of handwriting disabilities. Project outcomes will be the psycho-diagnostic method and its methodology, software, several publications, and a workshop.
Archived project
The main goal of this multidisciplinary project is to research the handwriting/drawing parameterization in relation to the developmental dysgraphia (DD) symptoms and as a result to introduce a new concept/methodology of computerized DD diagnosis and rating.
Project
Hypokinetic dysarthria (HD) is common in Parkinson’s disease (PD) patients and it responds only partially to pharmacotherapy and surgery of PD. We will explore short-term effects of repetitive transcranial magnetic stimulation (rTMS) applied over pre-defined brain regions using both high and low frequency TMS protocols on HD and micrographia in PD, and on related brain plasticity changes. To achieve our goal we will combine acoustic analysis and functional MRI with rTMS. The objective is to identify an optimal rTMS protocol and stimulation site to improve HD and micrographia in PD patients on dopaminergic medication. Based on these results a repeated-sessions rTMS study will be designed to investigate long-term effects of rTMS on HD in PD and related changes in brain structure and function. The project results will allow for the identification of potential therapeutic effects of rTMS as a tool that could contribute to the speech therapy of HD in PD patients. The results will also enhance our understanding of brain mechanisms underlying specific long-term effects of rTMS.