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Irena Rektorová
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2020 – today
- 2024
- [j13]Daniel Kovac
, Jirí Mekyska
Exploring digital speech biomarkers of hypokinetic dysarthria in a multilingual cohort. Biomed. Signal Process. Control. 88(Part B): 105667 (2024) - [c24]Jan Mucha, Michal Gavenciak, Jirí Mekyska, Marcos Faúndez-Zanuy, Lubos Brabenec, Irena Rektorová:
Evaluation of Fractional Calculus and Delta Parameters in Prodromal Diagnosis of Dementia with Lewy Bodies Utilizing Online Handwriting. EUSIPCO 2024: 1731-1735 - [c23]Daniel Kovac
Exploring Speech Profiles in Parkinson's Disease Patients on Long - Term Dopaminergic Medication. TSP 2024: 270-273 - 2023
- [j12]Andrés Gómez-Rodellar, Jirí Mekyska
A Pilot Study on the Functional Stability of Phonation in EEG Bands After Repetitive Transcranial Magnetic Stimulation in Parkinson's Disease. Int. J. Neural Syst. 33(6): 2350028:1-2350028:21 (2023) - [c22]Pedro Gómez, Jirí Mekyska, Lubos Brabenec, Patrik Simko, Irena Rektorová, Andrés Gómez, Victoria Rodellar:
Description of PD Phonation in Terms of EEG-Related Frequency Bands. BIOSIGNALS 2023: 226-233 - [c21]Marek Mikulec, Lubos Brabenec, Jirí Mekyska
Indirect Assessment of Hyperechogenicity of Substantia Nigra Utilizing Sleep-based Biomarkers. SITA 2023: 1-6 - [i8]Jan Mucha, Zoltan Galaz, Jirí Mekyska
Exploration of Various Fractional Order Derivatives in Parkinson's Disease Dysgraphia Analysis. CoRR abs/2301.08529 (2023) - [i7]Zoltan Galaz, Jirí Mekyska
Prodromal Diagnosis of Lewy Body Diseases Based on the Assessment of Graphomotor and Handwriting Difficulties. CoRR abs/2301.08534 (2023) - 2022
- [j11]Zoltan Galaz, Peter Drotár, Jirí Mekyska
Comparison of CNN-Learned vs. Handcrafted Features for Detection of Parkinson's Disease Dysgraphia in a Multilingual Dataset. Frontiers Neuroinformatics 16: 877139 (2022) - [c20]Zoltan Galaz
Prodromal Diagnosis of Lewy Body Diseases Based on the Assessment of Graphomotor and Handwriting Difficulties. IGS 2022: 255-268 - [c19]Jan Mucha
Exploration of Various Fractional Order Derivatives in Parkinson's Disease Dysgraphia Analysis. IGS 2022: 308-321 - [c18]Andrés Gómez-Rodellar
Evaluation of TMS Effects on the Phonation of Parkinson's Disease Patients. IWINAC (1) 2022: 199-208 - [c17]Daniel Kovac
Research on Passive Assessment of Parkinson's Disease Utilising Speech Biomarkers. PervasiveHealth 2022: 259-273 - [c16]Marek Mikulec
Prodromal Diagnosis of Lewy Body Diseases Based on Actigraphy. TSP 2022: 403-406 - [i6]Jirí Mekyska
Assessing Progress of Parkinson s Disease Using Acoustic Analysis of Phonation. CoRR abs/2203.09295 (2022) - [i5]Jirí Mekyska
Robust and Complex Approach of Pathological Speech Signal Analysis. CoRR abs/2203.09402 (2022) - [i4]Jan Mucha, Zoltan Galaz, Jirí Mekyska
Identification of Hypokinetic Dysarthria Using Acoustic Analysis of Poem Recitation. CoRR abs/2203.09880 (2022) - [i3]Jirí Mekyska
Perceptual Features as Markers of Parkinson's Disease: The Issue of Clinical Interpretability. CoRR abs/2203.10830 (2022) - [i2]Peter Drotár, Jirí Mekyska
Contribution of Different Handwriting Modalities to Differential Diagnosis of Parkinson's Disease. CoRR abs/2203.11269 (2022) - 2021
- [c15]Daniel Kovac, Jirí Mekyska
Multilingual Analysis of Speech and Voice Disorders in Patients with Parkinson's Disease. TSP 2021: 273-277 - [c14]Marek Mikulec
Automatic Segmentation of Actigraphy Data Utilising Gradient Boosting Algorithm. TSP 2021: 399-402 - 2020
- [j10]Gustav Mårtensson
The reliability of a deep learning model in clinical out-of-distribution MRI data: A multicohort study. Medical Image Anal. 66: 101714 (2020)
2010 – 2019
- 2019
- [j9]Pedro Gómez Vilda
Vowel Articulation Dynamic Stability Related to Parkinson's Disease Rating Features: Male Dataset. Int. J. Neural Syst. 29(2): 1850037:1-1850037:13 (2019) - [j8]Pedro Gómez Vilda
Neuromechanical Modelling of Articulatory Movements from Surface Electromyography and Speech Formants. Int. J. Neural Syst. 29(2): 1850039:1-1850039:17 (2019) - [c13]Jan Mucha
Analysis of Parkinson's Disease Dysgraphia Based on Optimized Fractional Order Derivative Features. EUSIPCO 2019: 1-5 - [i1]Gustav Mårtensson, Daniel Ferreira, Tobias Granberg, Lena Cavallin, Ketil Oppedal, Alessandro Padovani, Irena Rektorová, Laura Bonanni, Matteo Pardini, Milica G. Kramberger, John-Paul Taylor, Jakub Hort, Jón Snædal, Jaime Kulisevsky, Frédéric Blanc, Angelo Antonini, Patrizia Mecocci, Bruno Vellas, Magda Tsolaki, Iwona Kloszewska, Hilkka Soininen, Simon Lovestone, Andrew Simmons, Dag Aarsland, Eric Westman:
The reliability of a deep learning model in clinical out-of-distribution MRI data: a multicohort study. CoRR abs/1911.00515 (2019) - 2018
- [j7]Jirí Mekyska
Quantitative Analysis of Relationship Between Hypokinetic Dysarthria and the Freezing of Gait in Parkinson's Disease. Cogn. Comput. 10(6): 1006-1018 (2018) - [c12]Jan Mucha
Advanced Parkinson's Disease Dysgraphia Analysis Based on Fractional Derivatives of Online Handwriting. ICUMT 2018: 1-6 - [c11]Martin Rajnoha, Jirí Mekyska
Towards Identification of Hypomimia in Parkinson's Disease Based on Face Recognition Methods. ICUMT 2018: 1-4 - [c10]Zoltan Galaz
Monitoring Progress of Parkinson's Disease Based on Changes in Phonation: a Pilot Study. TSP 2018: 1-5 - [c9]Jan Mucha
Fractional Derivatives of Online Handwriting: A New Approach of Parkinsonic Dysgraphia Analysis. TSP 2018: 1-4 - 2017
- [j6]Pedro Gómez Vilda
Parkinson Disease Detection from Speech Articulation Neuromechanics. Frontiers Neuroinformatics 11: 56 (2017) - [c8]Pedro Gómez Vilda
Vowel Articulation Distortion in Parkinson's Disease. IWINAC (2) 2017: 21-31 - [c7]Zoltan Galaz
Assessing freezing of gait in parkinson's disease using analysis of hypokinetic dysarthria. TSP 2017: 735-738 - [c6]Jan Mucha
Identification of hypokinetic dysarthria using acoustic analysis of poem recitation. TSP 2017: 739-742 - 2016
- [j5]Peter Drotár
Evaluation of handwriting kinematics and pressure for differential diagnosis of Parkinson's disease. Artif. Intell. Medicine 67: 39-46 (2016) - [j4]Zoltan Galaz
Prosodic analysis of neutral, stress-modified and rhymed speech in patients with Parkinson's disease. Comput. Methods Programs Biomed. 127: 301-317 (2016) - [c5]Zoltan Galaz
Degree of Parkinson's disease severity estimation based on speech signal processing. TSP 2016: 503-506 - [p1]Jirí Mekyska, Zdenek Smékal, Zoltan Galaz, Zdenek Mzourek, Irena Rektorová, Marcos Faúndez-Zanuy, Karmele López de Ipiña:
Perceptual Features as Markers of Parkinson's Disease: The Issue of Clinical Interpretability. Recent Advances in Nonlinear Speech Processing 2016: 83-91 - 2015
- [j3]Jirí Mekyska
Robust and complex approach of pathological speech signal analysis. Neurocomputing 167: 94-111 (2015) - [c4]Jirí Mekyska, Zoltan Galaz
Assessing progress of Parkinson's disease using acoustic analysis of phonation. IWOBI 2015: 111-118 - [c3]Peter Drotár
Contribution of different handwriting modalities to differential diagnosis of Parkinson's Disease. MeMeA 2015: 344-348 - 2014
- [j2]Peter Drotár
Analysis of in-air movement in handwriting: A novel marker for Parkinson's disease. Comput. Methods Programs Biomed. 117(3): 405-411 (2014) - 2013
- [c2]Peter Drotár
A new modality for quantitative evaluation of Parkinson's disease: In-air movement. BIBE 2013: 1-4 - 2011
- [c1]Jirí Mekyska
Selection of optimal parameters for automatic analysis of speech disorders in Parkinson's disease. TSP 2011: 408-412
2000 – 2009
- 2008
- [j1]Irena Rektorová
Dorsolateral Prefrontal Cortex: A Possible Target for Modulating Dyskinesias in Parkinson's Disease by Repetitive Transcranial Magnetic Stimulation. Int. J. Biomed. Imaging 2008: 372125:1-372125:6 (2008)
Coauthor Index
aka: José Manuel Ferrández de Vicente
aka: José M. Ferrández
aka: J. M. Ferrández-Vicente
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