363 citations · 767 across the 12 of their papers we have counts for
12 papers
Evaluation of handwriting kinematics and pressure for differential diagnosis of Parkinson's disease
Peter Drotár, Jiří Mekyska, Irena Rektorová +3
Objective: We present the PaHaW Parkinson's disease handwriting database, consisting of handwriting samples from Parkinson's disease (PD) patients and healthy controls. Our goal is…
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…
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…
Contribution of Different Handwriting Modalities to Differential Diagnosis of Parkinson's Disease
Peter Drotár, Jiří Mekyska, Zdeněk Smékal +3
In this paper, we evaluate the contribution of different handwriting modalities to the diagnosis of Parkinson's disease. We analyse on-surface movement, in-air movement and pressur…
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…
Robust and Complex Approach of Pathological Speech Signal Analysis
Jiri Mekyska, Eva Janousova, Pedro Gomez-Vilda +8
This paper presents a study of the approaches in the state-of-the-art in the field of pathological speech signal analysis with a special focus on parametrization techniques. It pro…
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…
Improving Machine Hearing on Limited Data Sets
Pavol Harar, Roswitha Bammer, Anna Breger +2
Convolutional neural network (CNN) architectures have originated and revolutionized machine learning for images. In order to take advantage of CNNs in predictive modeling with audi…