output
20192024
most citedEvaluation of handwriting kinematics and pressure for differential diagnosis of Parkinson's disease

363 citations

9 papers

cs.CV2024★ 363 cited

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…

eess.IV2023★ 2 cited

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…

eess.SY2023★ 3 cited

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…

q-bio.QM2022★ 9 cited

sMolBoxes: Dataflow Model for Molecular Dynamics Exploration

Pavol Ulbrich, Manuela Waldner, Katarína Furmanová +4

We present sMolBoxes, a dataflow representation for the exploration and analysis of long molecular dynamics (MD) simulations. When MD simulations reach millions of snapshots, a fra…

cs.SD2022★ 19 cited

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…

cs.SD2022★ 129 cited

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…

cs.SD2022★ 33 cited

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…

physics.med-ph2019★ 179 cited

The reliability of a deep learning model in clinical out-of-distribution MRI data: a multicohort study

Gustav Mårtensson, Daniel Ferreira, Tobias Granberg +22

Deep learning (DL) methods have in recent years yielded impressive results in medical imaging, with the potential to function as clinical aid to radiologists. However, DL models in…

cond-mat.str-el2019★ 3 cited

Splitting of antiferromagnetic resonance modes in the quasi-two-dimensional collinear antiferromagnet Cu(en)(HO)SO

V. N. Glazkov, Yu. V. Krasnikova, I. K. Rodygina +3

Low-temperature magnetic resonance study of the quasi-two-dimensional antiferromagnet Cu(en)(HO)SO (en = CHN) was performed down to 0.45~K. This compound or…