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FEEC, UTKO – Researcher
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2024
MIKULEC, M.; BRABENEC, L.; MEKYSKA, J.; BOČKOVÁ, K.; GÁLÁŽ, Z.; REKTOROVÁ, I. Indirect Assessment of Hyperechogenicity of Substantia Nigra Utilizing Sleep-based Biomarkers. In 2023 14th International Conference on Intelligent Systems: Theories and Applications (SITA). 1. Casablanca, Morocco: Institute of Electrical and Electronics Engineers Inc., 2024. p. 1-6. ISBN: 9798350308211.Detail | WWW
2023
KOVÁČ, D.; MEKYSKA, J.; AHARONSON, V.; HARÁR, P.; GALÁŽ, Z.; RAPCSAK, S.; OROZCO-ARROYAVE, J. R.; BRABENEC, L.; REKTOROVÁ, I. Exploring digital speech biomarkers of hypokinetic dysarthria in a multilingual cohort. BIOMED SIGNAL PROCES, 2023, vol. 88, no. 2, p. 1-11. ISSN: 1746-8094.Detail | WWW
MEKYSKA, J.; GALÁŽ, Z.; ZVONČÁKOVÁ, K.; ZVONČÁK, V.; ČUNEK, L.; URBÁNEK, T.; HAVIGEROVÁ, J.M.; BEDNÁŘOVÁ, J.; MUCHA, J.; GAVENČIAK, M.; SMÉKAL, Z.; FAUNDEZ-ZANUY, M. Assessment of Developmental Dysgraphia Utilising a Display Tablet. In Graphonomics in Human Body Movement: Bridging Research and Practice from Motor Control to Handwriting Analysis and Recognition. 2023. p. 21-35. ISBN: 978-3-031-45460-8.Detail | WWW
2022
GALÁŽ, Z.; DROTÁR, P.; MEKYSKA, J.; GAZDA, M.; MUCHA, J.; ZVONČÁK, V.; SMÉKAL, Z.; FAÚNDEZ ZANUY, M.; CASTRILLON, R.; OROZCO-ARROYAVE, J.; RAPCSAK, S.; KINCSES, T.; BRABENEC, L.; REKTOROVÁ, I. Comparison of CNN-Learned vs. Handcrafted Features for Detection of Parkinson’s Disease Dysgraphia in a Multilingual Dataset. Frontiers in Neuroinformatics, 2022, vol. 16, no. 1, p. 1-18. ISSN: 1662-5196.Detail | WWW | Full text in the Digital Library
MIKULEC, M.; GALÁŽ, Z.; MEKYSKA, J.; MUCHA, J.; BRABENEC, L.; MORÁVKOVÁ, I.; REKTOROVÁ, I. Prodromal Diagnosis of Lewy Body Diseases Based on Actigraphy. In 2022 45th International Conference on Telecommunications and Signal Processing (TSP). IEEE, 2022. p. 403-406. ISBN: 978-1-6654-6948-7.Detail | WWW
MUCHA, J.; GALÁŽ, Z.; MEKYSKA, J.; FAÚNDEZ ZANUY, M.; ZVONČÁK, V.; SMÉKAL, Z.; BRABENEC, L.; REKTOROVÁ, I. Exploration of Various Fractional Order Derivatives in Parkinson’s Disease Dysgraphia Analysis. In Lecture Notes in Computer Science. 1. Springer, Cham, 2022. p. 308-321. ISBN: 978-3-031-19745-1.Detail | WWW
GALÁŽ, Z.; MEKYSKA, J.; MUCHA, J.; ZVONČÁK, V.; SMÉKAL, Z.; FAÚNDEZ ZANUY, M.; BRABENEC, L.; MORÁVKOVÁ, I.; REKTOROVÁ, I. Prodromal Diagnosis of Lewy Body Diseases Based on the Assessment of Graphomotor and Handwriting Difficulties. In Intertwining Graphonomics with Human Movements. 1. Springer, Cham, 2022. p. 255-268. ISBN: 978-3-031-19745-1.Detail | WWW
MIKULEC, M.; MEKYSKA, J.; GÁLÁŽ Z. Parkinson’s Disease Recognition based on Sleep Metrics from Actigraphy and Sleep Diaries. In Proceedings II of the 28th Conference STUDENT EEICT 2022 Selected papers. 1. Brno, Czech Republic: Brno University of Technology, Faculty of Electronic Engineering and Communication, 2022. p. 281-285. ISBN: 978-80-214-6030-0.Detail | WWW
GAVENČIAK, M.; ZVONČÁK, V.; MEKYSKA, J.; ŠAFÁROVÁ, K.; ČUNEK, L.; TOMÁŠ, U.; MARIE HAVIGEROVÁ, J.; BEDNÁŘOVÁ, J.; GALÁŽ, Z.; MUCHA, J. Exploring the Contribution of Isochrony-based Features to Computerized Assessment of Handwriting Disabilities. In 2022 45th International Conference on Telecommunications and Signal Processing (TSP). IEEE, 2022. p. 355-359. ISBN: 978-1-6654-6948-7.Detail | WWW
2021
KOVÁČ, D.; MEKYSKA, J.; GALÁŽ, Z.; BRABENEC, L.; KOŠŤÁLOVÁ, M.; RAPCSAK, S.; REKTOROVÁ, I. Multilingual Analysis of Speech and Voice Disorders in Patients with Parkinson's Disease. In 2021 44th International Conference on Telecommunications and Signal Processing. NEW YORK: IEEE, 2021. p. 273-277. ISBN: 978-1-6654-2933-7.Detail | WWW
KLOBUŠIAKOVÁ, P.; MEKYSKA, J.; BRABENEC, L.; GALÁŽ, Z.; ZVONČÁK, V.; MUCHA, J.; RAPCSAK, S.; REKTOROVÁ, I. Articulatory network reorganization in Parkinson's disease as assessed by multimodal MRI and acoustic measures. PARKINSONISM & RELATED DISORDERS, 2021, vol. 84, no. 1, p. 122-128. ISSN: 1353-8020.Detail | WWW | Full text in the Digital Library
MIKULEC, M.; MEKYSKA, J.; SIGMUND, J.; GALÁŽ, Z.; BRABENEC, L.; MORÁVKOVÁ, I.; REKTOROVÁ, I. Automatic Segmentation of Actigraphy Data Utilising Gradient Boosting Algorithm. In 2021 44th International Conference on Telecommunications and Signal Processing. Brno, Czech Republic: IEEE, 2021. p. 399-402. ISBN: 978-1-6654-2933-7.Detail | WWW
2020
GALÁŽ, Z.; MUCHA, J.; ZVONČÁK, V.; MEKYSKA, J.; SMÉKAL, Z.; ŠAFÁROVÁ, K.; ONDRÁČKOVÁ, A.; URBÁNEK, T.; HAVIGEROVÁ, J.M.; BEDNÁROVÁ, J.; FAUNDEZ-ZANUY, M. Advanced Parametrization of Graphomotor Difficulties in School-Aged Children. IEEE Access, 2020, vol. 8, no. 1, p. 112883-112897. ISSN: 2169-3536.Detail | WWW
SEJNOHA MINSTEROVÁ, A.; KLOBUŠIAKOVÁ, P.; PIES, A.; GALÁŽ, Z.; MEKYSKA, J.; NOVÁKOVÁ, L.; NĚMCOVÁ ELFMARKOVÁ, N.; REKTOROVÁ, I. Patterns of diffusion kurtosis changes in Parkinson's disease subtypes. PARKINSONISM & RELATED DISORDERS, 2020, vol. 81, no. 1, p. 96-102. ISSN: 1353-8020.Detail | WWW | Full text in the Digital Library
ŠAFÁROVÁ, K.; MEKYSKA, J.; ZVONČÁK, V.; GALÁŽ, Z.; FRANCOVÁ, P.; ČECHOVÁ, B.; LOSENICKÁ, B.; SMÉKAL, Z.; URBÁNEK, T.; HAVIGEROVÁ, J.M.; ROSENBLUM, S. Psychometric Properties of Screening Questionnaires for Children With Handwriting Issues. Frontiers in Psychology, 2020, vol. 10, no. 2937, p. 1-12. ISSN: 1664-1078.Detail | WWW
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
HARÁR, P.; GALÁŽ, Z.; ALONSO-HERNANDEZ, J.; 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. Neural Computing and Applications, 2020, vol. 1, no. 1, p. 15747-15757. ISSN: 1433-3058.Detail | WWW | Full text in the Digital Library
MUCHA, J.; MEKYSKA, J.; GALÁŽ, Z.; FAUNDEZ-ZANUY, M; ZVONČÁK, V.; ŠAFÁROVÁ, K.; URBÁNEK, T.; HAVIGEROVÁ, J.M.; BEDNÁROVÁ, J.; SMÉKAL, Z. Analysis of Various Fractional Order Derivatives Approaches in Assessment of Graphomotor Difficulties. IEEE Access, 2020, vol. 8, no. 1, p. 218234-218244. ISSN: 2169-3536.Detail | WWW
2019
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 | WWW | Full text in the Digital Library
ZVONČÁK, V.; MUCHA, J.; GALÁŽ, Z.; MEKYSKA, J.; ŠAFÁROVÁ, K.; FAÚNDEZ ZANUY, M.; SMÉKAL, Z. Fractional Order Derivatives Evaluation in Computerized Assessment of Handwriting Difficulties in School-aged Children. In 11th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT). 2019. p. 210-215. ISBN: 978-1-7281-5764-1.Detail | WWW
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 | WWW
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 | WWW
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 | WWW
MEKYSKA, J.; GALÁŽ, Z.; ŠAFÁROVÁ, K.; ZVONČÁK, V.; MUCHA, J.; SMÉKAL, Z.; ONDRÁČKOVÁ, A.; URBÁNEK, T.; HAVIGEROVÁ, J.M.; BEDNÁŘOVÁ, J.; FAÚNDEZ ZANUY, M. Computerised Assessment of Graphomotor Difficulties in a Cohort of School-aged Children. In 2019 11th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT). Dublin, Irsko: 2019. p. 1-6. ISBN: 978-1-7281-5763-4.Detail | WWW
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 | WWW | Full text in the Digital Library
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 | WWW
2018
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
GALÁŽ, Z.; MEKYSKA, J.; KISKA, T.; ZVONČÁK, V.; MUCHA, J.; HARÁR, P.; SMÉKAL, Z.; ELIÁŠOVÁ, I.; MRAČKOVÁ, M.; KOŠŤÁLOVÁ, M.; REKTOROVÁ, I.; ALONSO-HERNANDEZ, J.; GOMEZ-VILDA, P. Monitoring Progress of Parkinson’s Disease Based on Changes in Phonation: a Pilot Study. In 41st International Conference on Telecommunications and Signal Processing (TSP). Atény, Řecko: Institute of Electrical and Electronics Engineers Inc., 2018. p. 218-221. ISBN: 978-1-5386-4695-3.Detail | WWW
MUCHA, J.; MEKYSKA, J.; FAÚNDEZ ZANUY, M.; LOPEZ-DE-IPINA, K.; ZVONČÁK, V.; GALÁŽ, Z.; KISKA, T.; SMÉKAL, Z.; BRABENEC, L.; REKTOROVÁ, I. Advanced Parkinson's Disease Dysgraphia Analysis Based on Fractional Derivatives of Online Handwriting. In 10th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT). International Congress on Ultra Modern Telecommunications and Control Systems and Workshops. Moskva, Rusko: 2018. p. 77-82. ISBN: 978-1-5386-9361-2. ISSN: 2157-023X.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
BRABENEC, L.; MEKYSKA, J.; GALÁŽ, Z.; KLOBUŠIAKOVÁ, P.; KOŠŤÁLOVÁ, M.; REKTOROVÁ, I. Effects of non-invasive brain stimulation on motor speech disorder in Parkinson’s disease. Clinical Neurophysiology. 2018. p. e9 ( p.)ISSN: 1388-2457.Detail | WWW
MEKYSKA, J.; GALÁŽ, Z.; KISKA, T.; ZVONČÁK, V.; MUCHA, J.; SMÉKAL, Z.; ELIÁŠOVÁ, I.; KOŠŤÁLOVÁ, M.; MRAČKOVÁ, M.; FIEDOROVÁ, D.; FAUNDEZ-ZANUY, M.; SOLÉ-CASALS, J.; GÓMEZ-VILDA, P.; REKTOROVÁ, I. Quantitative Analysis of Relationship Between Hypokinetic Dysarthria and the Freezing of Gait in Parkinson’s Disease. Cognitive Computation, 2018, vol. 10, no. 6, p. 1006-1018. ISSN: 1866-9956.Detail | WWW
MUCHA, J.; ZVONČÁK, V.; GALÁŽ, Z.; MEKYSKA, J.; KISKA, T.; SMÉKAL, Z.; FAÚNDEZ ZANUY, M.; BRABENEC, L.; REKTOROVÁ, I.; LOPEZ-DE-IPINA, K. Fractional Derivatives of Online Handwriting: a New Approach of Parkinsonic Dysgraphia Analysis. In 41st International Conference on Telecommunications and Signal Processing (TSP). Atény, Řecko: 2018. p. 214-217. ISBN: 978-1-5386-4695-3.Detail | WWW
2017
BRABENEC, L.; MEKYSKA, J.; GALÁŽ, Z.; REKTOROVÁ, I. Speech disorders in Parkinson's disease: early diagnostics and effects of medication and brain stimulation. JOURNAL OF NEURAL TRANSMISSION, 2017, vol. 124, no. 3, p. 303-334. ISSN: 0300-9564.Detail
MUCHA, J.; GALÁŽ, Z.; KISKA, T.; MEKYSKA, J.; ZVONČÁK, V.; SMÉKAL, Z. Acoustic analysis of poem recitation for identification of hypokinetic dysarthria in Parkinson’ s disease patients. Book of Abstracts, CEITEC PhD Retreat II. Brno: Masarykova univerzita, 2017. p. 47 ( p.)ISBN: 978-80-210-8550- 3.Detail
MUCHA, J.; GALÁŽ, Z.; SMÉKAL, Z. Detekcia Parkinsonovej choroby pomocou akustickej analýzy prednesu básne. Elektrorevue - Internetový časopis (http://www.elektrorevue.cz), 2017, vol. 19, no. 2, p. 1-7. ISSN: 1213-1539.Detail
GOMEZ-VILDA, P.; MEKYSKA, J.; MANUEL FERRANDEZ, J.; PALACIOS-ALONSO, D.; GÓMEZ-RODELLAR, A.; RODELLAR BIARGE, M.; GALÁŽ, Z.; SMÉKAL, Z.; ELIÁŠOVÁ, I.; KOŠŤÁLOVÁ, M.; REKTOROVÁ, I. Parkinson Disease Detection from Speech Articulation Neuromechanics. Frontiers in Neuroinformatics, 2017, vol. 11, no. 56, p. 1-17. ISSN: 1662-5196.Detail | WWW | Full text in the Digital Library
BRABENEC, L.; MEKYSKA, J.; GALÁŽ, Z.; ZVONČÁK, V.; KISKA, T.; MUCHA, J.; SMÉKAL, Z.; KOŠŤÁLOVÁ, M.; REKTOROVÁ, I. Effects of non-invasive brain stimulation of the superior temporal gyrus on motor speech disorder in Parkinson's disease. European Journal of Neurology. European Journal of Neurology, 2017. p. 478-478. ISSN: 1468-1331.Detail | WWW
HARÁR, P.; ALONSO-HERNANDEZ, J.; MEKYSKA, J.; GALÁŽ, Z.; BURGET, R.; SMÉKAL, Z. Voice Pathology Detection Using Deep Learning: a Preliminary Study. In 2017 International Work Conference on Bio-inspired Intelligence (IWOBI). Funchal, Portugal: 2017. p. 45-48. ISBN: 978-1-5386-0850-0.Detail
MUCHA, J.; GALÁŽ, Z.; MEKYSKA, J.; KISKA, T.; ZVONČÁK, V.; SMÉKAL, Z.; ELIÁŠOVÁ, I.; MRAČKOVÁ, M.; KOŠŤÁLOVÁ, M.; REKTOROVÁ, I. Identification of Hypokinetic Dysarthria Using Acoustic Analysis of Poem Recitation. In 40th Anniversary of International Conference on Telecommunications and Signal Processing (TSP). Barcelona, Španělsko: 2017. p. 739-742. ISBN: 978-1-5090-3981-4.Detail | WWW
GALÁŽ, Z.; ZVONČÁK, V.; KISKA, T.; MUCHA, J.; SMÉKAL, Z. Objektivní hodnocení poruch chůze na základě akustické analýzy četby dlouhého textu u pacientů s idiopatickou Parkinsonovou nemocí. Elektrorevue - Internetový časopis (http://www.elektrorevue.cz), 2017, vol. 19, no. 4, p. 1-7. ISSN: 1213-1539.Detail | WWW
GALÁŽ, Z.; MEKYSKA, J.; KISKA, T.; ZVONČÁK, V.; MUCHA, J.; SMÉKAL, Z.; ELIÁŠOVÁ, I.; MRAČKOVÁ, M.; KOŠŤÁLOVÁ, M.; REKTOROVÁ, I.; FAÚNDEZ ZANUY, M. Assessing Freezing of Gait in Parkinson's Disease Using Analysis of Hypokinetic Dysarthria. In 40th Anniversary of International Conference on Telecommunications and Signal Processing (TSP). Barcelona, Španělsko: 2017. p. 735-738. ISBN: 978-1-5090-3981-4.Detail | WWW
GALÁŽ, Z.; KISKA, T.; ZVONČÁK, V.; MUCHA, J.; SMÉKAL, Z. Assessing Parkinson's disease using prosodic analysis of neutral, stress- modified and rhymed speech. Elektrorevue - Internetový časopis (http://www.elektrorevue.cz), 2017, vol. 19, no. 2, p. 57-66. ISSN: 1213-1539.Detail
GALÁŽ, Z. Correlation Analysis of Freezing of Gait and Speech Disorders in Parkinson' s Disease. In Proceedings of the 23nd Conference STUDENT EEICT 2017. Brno: 2017. p. 1-5. ISBN: 978-80-214-5496- 5.Detail
GALÁŽ, Z. Speech Disorders in Parkinson' s Disease Patients With Mild Form of Freezing of Gait. In Proceedings of the 23nd Conference STUDENT EEICT 2017. Brno: 2017. p. 6-10. ISBN: 978-80-214-5496- 5.Detail
2016
GALÁŽ, Z.; MEKYSKA, J.; MŽOUREK, Z.; KISKA, T.; SMÉKAL, Z.; REKTOROVÁ, I. Degree of Parkinson's Disease Severity Estimation Based on Speech Signal Processing. In Proceedings of the 39th International Conference on Telecommunication and Signal Processing, TSP 2016. 1. 2016. p. 503-506. ISBN: 978-1-5090-1287-9.Detail | WWW
MEKYSKA, J.; FAÚNDEZ ZANUY, M.; MŽOUREK, Z.; GALÁŽ, Z.; SMÉKAL, Z.; ROSENBLUM, S. Identification and Rating of Developmental Dysgraphia by Handwriting Analysis. IEEE Transactions on Human-Machine Systems, 2016, vol. PP, no. 99, p. 1-14. ISSN: 2168-2291.Detail | WWW
GALÁŽ, Z.; MEKYSKA, J.; MŽOUREK, Z.; SMÉKAL, Z.; REKTOROVÁ, I.; ELIÁŠOVÁ, I.; KOŠŤÁLOVÁ, M.; MRAČKOVÁ, M.; BERANKOVA, D. Prosodic Analysis of Neutral, Stress-modified and Rhymed Speech in Patients with Parkinson's Disease. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2016, vol. 127, no. 1, p. 301-317. ISSN: 0169-2607.Detail | WWW
MEKYSKA, J.; SMÉKAL, Z.; GALÁŽ, Z.; MŽOUREK, Z.; REKTOROVÁ, I.; FAÚNDEZ ZANUY, M.; LOPEZ-DE-IPINA, K. Perceptual Features as Markers of Parkinson’s Disease: The Issue of Clinical Interpretability. In Recent Advances in Nonlinear Speech Processing. Switzerland: Springer International Publishing, 2016. p. 83-91. ISBN: 978-3-319-28107-0.Detail
GALÁŽ, Z. Potential of Prosodic Features to Estimate Degree of Parkinson' s disease severity. In Proceedings of the 22nd Conference STUDENT EEICT 2016. Brno: 2016. p. 533-537. ISBN: 978-80-214-5350- 0.Detail
GALÁŽ, Z. Quantification of Prosodic Impairment in Patients with Idiopathic Parkinson' s Disease. In Proceedings of the 22nd Conference STUDENT EEICT 2016. Brno: 2016. p. 538-542. ISBN: 978-80-214-5350- 0.Detail
GALÁŽ, Z. Analýza ručne psaného projevu: perspektivní metoda diagnostiky Parkinsonovy nemoci. Sdělovací technika, 2016, no. 2, p. 24-34. ISSN: 0036-9942.Detail | WWW
2015
SMÉKAL, Z.; MEKYSKA, J.; GALÁŽ, Z.; MŽOUREK, Z.; REKTOROVÁ, I.; FAÚNDEZ ZANUY, M. Analysis of phonation in patients with Parkinson's disease using empirical mode decomposition. In 2015 International Symposium on Signals, Circuits and Systems (ISSCS). 2015. p. 1-4. ISBN: 978-1-4673-7487-3.Detail | WWW
MEKYSKA, J.; GALÁŽ, Z.; MŽOUREK, Z.; SMÉKAL, Z.; REKTOROVÁ, I.; ELIÁŠOVÁ, I.; KOŠŤÁLOVÁ, M.; MRAČKOVÁ, M.; BERANKOVA, D.; FAÚNDEZ ZANUY, M.; LOPEZ-DE-IPINA, K.; ALONSO-HERNANDEZ, J. Assessing progress of Parkinson's disease using acoustic analysis of phonation. In 2015 4th International Work Conference on Bioinspired Intelligence (IWOBI). 2015. p. 111-118. ISBN: 978-1-4673-7845-1.Detail | WWW
GALÁŽ, Z. Preliminary Acoustic Analysis of Noise Components in Patients In Parkinsons Disease. In Proceedings of the 21st Conference STUDENT EEICT 2015. Brno: 2015. p. 476-480. ISBN: 978-80-214-5148- 3.Detail
2014
GALÁŽ, Z.; MEKYSKA, J.; MASAROVÁ, L. Analýza ručne písaného prejavu u pacientov postihnutých neurologickými onemocneniami. Electrorevue, 2014, vol. 2014, no. 4, p. 155-165. ISSN: 1336- 8559.Detail
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