96 citations · 230 across the 10 of their papers we have counts for
10 papers
Assessment of Developmental Dysgraphia Utilising a Display Tablet
Jiri Mekyska, Zoltan Galaz, Katarina Safarova +9
Even though the computerised assessment of developmental dysgraphia (DD) based on online handwriting processing has increasing popularity, most of the solutions are based on a setu…
Graphomotor and Handwriting Disabilities Rating Scale (GHDRS):towards complex and objective assessment
Jiri Mekyska, Katarina Safarova, Tomas Urbanek +10
Graphomotor and handwriting disabilities (GD and HD, respectively) could significantly reduce children's quality of life. Effective remediation depends on proper diagnosis; however…
Deep Learning for In-Orbit Cloud Segmentation and Classification in Hyperspectral Satellite Data
Daniel Kovac, Jan Mucha, Jon Alvarez Justo +7
This article explores the latest Convolutional Neural Networks (CNNs) for cloud detection aboard hyperspectral satellites. The performance of the latest 1D CNN (1D-Justo-LiuNet) an…
Prodromal Diagnosis of Lewy Body Diseases Based on the Assessment of Graphomotor and Handwriting Difficulties
Zoltan Galaz, Jiri Mekyska, Jan Mucha +6
To this date, studies focusing on the prodromal diagnosis of Lewy body diseases (LBDs) based on quantitative analysis of graphomotor and handwriting difficulties are missing. In th…
Exploration of Various Fractional Order Derivatives in Parkinson's Disease Dysgraphia Analysis
Jan Mucha, Zoltan Galaz, Jiri Mekyska +5
Parkinson's disease (PD) is a common neurodegenerative disorder with a prevalence rate estimated to 2.0% for people aged over 65 years. Cardinal motor symptoms of PD such as rigidi…
Perceptual Features as Markers of Parkinson's Disease: The Issue of Clinical Interpretability
Jiri Mekyska, Zdenek Smekal, Zoltan Galaz +4
Up to 90% of patients with Parkinson's disease (PD) suffer from hypokinetic dysathria (HD) which is also manifested in the field of phonation. Clinical signs of HD like monoloudnes…
Identification of Hypokinetic Dysarthria Using Acoustic Analysis of Poem Recitation
Jan Mucha, Zoltan Galaz, Jiri Mekyska +9
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 imprec…
Assessing Progress of Parkinson s Disease Using Acoustic Analysis of Phonation
Jiri Mekyska, Zoltan Galaz, Zdenek Mzourek +9
This paper deals with a complex acoustic analysis of phonation in patients with Parkinson's disease (PD) with a special focus on estimation of disease progress that is described by…
Towards Robust Voice Pathology Detection
Pavol Harar, Zoltan Galaz, Jesus B. Alonso-Hernandez +3
Automatic objective non-invasive detection of pathological voice based on computerized analysis of acoustic signals can play an important role in early diagnosis, progression track…
Voice Pathology Detection Using Deep Learning: a Preliminary Study
Pavol Harar, Jesus B. Alonso-Hernandez, Jiri Mekyska +3
This paper describes a preliminary investigation of Voice Pathology Detection using Deep Neural Networks (DNN). We used voice recordings of sustained vowel /a/ produced at normal p…