Project detail
Efekt neinvazivní stimulace mozku na hypokinetickou dysartrii, mikrografii a mozkovou plasticitu u pacientů s Parkinsonovou nemocí
Duration: 1.4.2016 — 31.12.2019
Funding resources
Ministerstvo zdravotnictví ČR - Program na podporu zdravotnického aplikovaného výzkumu a vývoje na léta 2015 – 2022
Mark
NV16-30805A
Default language
Czech
People responsible
Mekyska Jiří, doc. Ing., Ph.D. - principal person responsible
Units
Department of Telecommunications
- responsible department (1.4.2016 - not assigned)
Department of Telecommunications
- beneficiary (1.4.2016 - not assigned)
Results
GÓMEZ-RODELLAR, A.; MEKYSKA, J.; GOMEZ-VILDA, P.; BRABENEC, L.; ŠIMKO, P.; REKTOROVÁ, I. Evaluation of TMS Effects on the Phonation of Parkinson’s Disease Patients. In Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications. 13258. Springer Science and Business Media, 2022. p. 199-208. ISBN: 978-3-031-06242-1.
Detail
GOMEZ, P.; MEKYSKA, J.; GOMEZ, A.; PALACIOS, D.; RODELLAR, V.; ALVAREZ, A. Articulation dynamics in Parkinson dysarthria. In Proceedings and Report - 10th International Workshop on Models and Analysis of Vocal Emissions for Biomedical Applications, MAVEBA 2017. Firenze, Itálie: Firenze University Press, 2017. p. 81-84. ISBN: 9788864536064.
Detail
BRABENEC, L.; KLOBUŠIAKOVÁ, P.; BARTOŇ, M.; MEKYSKA, J.; GALÁŽ, Z.; ZVONČÁK, V.; KISKA, T.; MUCHA, J.; SMÉKAL, Z.; KOŠŤÁLOVÁ, M.; ŠIMKO, P.; REKTOROVÁ, I. Long-Term Effect of Transcranial Magnetic Stimulation on Hypokinetic Dysarthria in Parkinson’s Disease and Its Neural Underpinnings. PARKINSONISM & RELATED DISORDERS. ENGLAND: ELSEVIER SCI LTD, 2020. p. E56 (E57 p.)ISSN: 1353-8020.
Detail
BRABENEC, L.; ŠIMKO, P.; KLOBUŠIAKOVÁ, P.; ŠEJNOHA-MINSTEROVÁ, A.; KOŠŤÁLOVÁ, M.; MEKYSKA, J.; REKTOROVÁ, I. Long-term effects of transcranial magnetic stimulation on speech of patients with Parkinson's disease. European Journal of Neurology. 2021. p. 274-274. ISSN: 1351-5101.
Detail
BRABENEC, L.; KLOBUŠIAKOVÁ, P.; ŠIMKO, P.; KOŠŤÁLOVÁ, M.; MEKYSKA, J.; REKTOROVÁ, I. Non-invasive brain stimulation for speech in Parkinson’s disease: A randomized controlled trial. BRAIN STIMUL, 2021, vol. 14, no. 3, p. 571-578. ISSN: 1935-861X.
Detail
HARÁR, P.; GALÁŽ, Z.; ALONSO-HERNANDEZ, J.B.; MEKYSKA, J.; BURGET, R.; SMÉKAL, Z. Towards robust voice pathology detection Investigation of supervised deep learning, gradient boosting, and anomaly detection approaches across four databases (vol 32, pg 15747, 2018). LONDON: SPRINGER LONDON LTD, 2019. p. 15759-15759.
Detail
ÁLVAREZ-MARQUINA, A.; GÓMEZ-RODELLAR, A.; PALACIOS-ALONSO, D.; MEKYSKA, J.; TSANAS, A.; GÓMEZ-VILDA, P.; MARTÍNEZ, R. Parkinson’s disease glottal flow characterization: Phonation features vs amplitude distributions. In Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 4: SERPICO. 2020. p. 359-368. ISBN: 978-989-758-398-8.
Detail
GÓMEZ-RODELLAR, A.; ÁLVAREZ-MARQUINA, A.; MEKYSKA, J.; PALACIOS-ALONSO, D.; MEGHRAOUI, D.; GÓMEZ-VILDA, P. Performance of Articulation Kinetic Distributions Vs MFCCs in Parkinson’s Detection from Vowel Utterances. In Neural Approaches to Dynamics of Signal Exchanges. 2020. p. 431-441. ISBN: 978-981-13-8949-8.
Detail
MUCHA, J.; FAÚNDEZ ZANUY, M.; MEKYSKA, J.; ZVONČÁK, V.; GALÁŽ, Z.; KISKA, T.; SMÉKAL, Z.; BRABENEC, L.; REKTOROVÁ, I.; LOPEZ-DE-IPINA, K. Analysis of Parkinson’s Disease Dysgraphia Based on Optimized Fractional Order Derivative Features. In 2019 27th European Signal Processing Conference (EUSIPCO). 18th European Signal Processing Conference (EUSIPCO-2010). New York: IEEE, 2019. p. 1-5. ISBN: 978-9-0827-9703-9. ISSN: 2076-1465.
Detail
GOMEZ, P.; MEKYSKA, J.; GOMEZ, A.; PALACIOS, D.; RODELLAR, V.; ALVAREZ, A. Characterization of Parkinson’s disease dysarthria in terms of speech articulation kinematics. BIOMED SIGNAL PROCES, 2019, vol. 52, no. 1, p. 312-320. ISSN: 1746-8094.
Detail
GOMEZ-RODELLAR, A.; PALACIOS-ALONSO, D.; MEKYSKA, J.; ALVAREZ-MARQUINA, A.; GOMEZ-VILDA, P. Comparing Parkinson's disease dysarthria and aging speech using articulation kinematics. In Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies. SCITEPRESS - Science and Technology Publications, 2019. p. 52-61. ISBN: 9789897583537.
Detail
GOMEZ-RODELLAR, A.; PALACIOS-ALONSO, D.; FERRÁNDEZ VICENTE, J.M.; MEKYSKA, J.; ALVAREZ MARQUINA, A.; GOMEZ-VILDA, P. Evaluating Instability on Phonation in Parkinson's Disease and Aging Speech. In From Bioinspired Systems and Biomedical Applications to Machine Learning. 2019. p. 340-351. ISBN: 978-3-030-19650-9.
Detail
MUCHA, J.; MEKYSKA, J.; FAÚNDEZ ZANUY, M.; SANZ-CARTAGENA, M.; GALÁŽ, Z.; ZVONČÁK, V.; KISKA, T.; SMÉKAL, Z.; LOPEZ-DE-IPINA, K.; REKTOROVÁ, I. Advanced Analysis of Online Handwriting in a Multilingual Cohort of Patients with Parkinson's Disease. In Advances in Signal Processing and Artificial Intelligence: Proceedings of the 1st International Conference on Advances in Signal Processing and Artificial Intelligence. 1. Barcelona, Spain: International Frequency Sensor Association (IFSA) Publishing, S. L., 2019. p. 144-147. ISBN: 978-84-09-10127-6.
Detail
GALÁŽ, Z.; MEKYSKA, J.; ZVONČÁK, V.; MUCHA, J.; KISKA, T.; SMÉKAL, Z.; ELIÁŠOVÁ, I.; MRÁČKOVÁ, M.; KOŠŤÁLOVÁ, M.; REKTOROVÁ, I.; FAÚNDEZ ZANUY, M.; ALONSO-HERNANDEZ, J.; GOMEZ-VILDA, P. Changes in Phonation and Their Relations with Progress of Parkinson’s Disease. Applied Sciences - Basel, 2019, vol. 8, no. 12, p. 1-18. ISSN: 2076-3417.
Detail
MUCHA, J.; MEKYSKA, J.; GALÁŽ, Z.; FAÚNDEZ ZANUY, M.; LOPEZ-DE-IPINA, K.; ZVONČÁK, V.; KISKA, T.; SMÉKAL, Z.; BRABENEC, L.; REKTOROVÁ, I. Identification and Monitoring of Parkinson’s Disease Dysgraphia Based on Fractional-Order Derivatives of Online Handwriting. Applied Sciences - Basel, 2019, vol. 8, no. 12, p. 1-18. ISSN: 2076-3417.
Detail
GÓMEZ-VILDA, P.; GÓMEZ-RODELLAR, A.; FERRÁNDEZ VICENTE, J.; MEKYSKA, J.; PALACIOS-ALONSO, D.; RODELLAR-BIARGE, V.; ALVAREZ-MARQUINA, A.; ELIÁŠOVÁ, I.; KOŠŤÁLOVÁ, M.; REKTOROVÁ, I. Neuromechanical Modelling of Articulatory Movements from Surface Electromyography and Speech Formants. INTERNATIONAL JOURNAL OF NEURAL SYSTEMS, 2019, vol. 29, no. 2, p. 1850039-1850039. ISSN: 0129-0657.
Detail
GÓMEZ-VILDA, P.; GALÁŽ, Z.; MEKYSKA, J.; FERRÁNDEZ VICENTE, J.; GÓMEZ-RODELLAR, A.; PALACIOS-ALONSO, D.; SMÉKAL, Z.; ELIÁŠOVÁ, I.; KOŠŤÁLOVÁ, M.; REKTOROVÁ, I. Vowel Articulation Dynamic Stability Related to Parkinson’s Disease Rating Features: Male Dataset. INTERNATIONAL JOURNAL OF NEURAL SYSTEMS, 2019, vol. 29, no. 2, p. 1850037-1850037. ISSN: 0129-0657.
Detail
BRABENEC, L.; KLOBUŠIAKOVÁ, P.; BARTOŇ, M.; MEKYSKA, J.; GALÁŽ, Z.; ZVONČÁK, V.; KISKA, T.; MUCHA, J.; SMÉKAL, Z.; KOŠŤÁLOVÁ, M.; REKTOROVÁ, I. Non-invasive stimulation of the auditory feedback area for improved articulation in Parkinson's disease. PARKINSONISM & RELATED DISORDERS, 2019, vol. 61, no. 1, p. 187-192. ISSN: 1353-8020.
Detail
ZVONČÁK, V.; MEKYSKA, J.; ŠAFÁROVÁ, K.; GALÁŽ, Z.; MUCHA, J.; KISKA, T.; SMÉKAL, Z.; LOSENICKÁ, B.; ČECHOVÁ, B.; FRANCOVÁ, P.; FAUNDEZ-ZANUY, M.; ROSENBLUM, S. Effect of Stroke-level Intra-writer Normalization on Computerized Assessment of Developmental Dysgraphia. In 10th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT). Moskva, Rusko: 2018. p. 233-237. ISBN: 978-1-5386-9360-5.
Detail
KISKA, T.; GALÁŽ, Z.; ZVONČÁK, V.; MUCHA, J.; MEKYSKA, J.; SMÉKAL, Z. Music Information Retrieval Techniques for Determining the Place of Origin of a Music Interpretation. In 10th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT). Moskva, Rusko: 2018. p. 238-242. ISBN: 978-1-5386-9360-5.
Detail
Responsibility: Mekyska Jiří, doc. Ing., Ph.D.