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Project detail
Duration: 01.01.2022 — 31.12.2022
Funding resources
Evropská unie - Interní grantová soutěž
- whole funder (2022-01-01 - 2022-12-31)
On the project
Although hypokinetic dysarthria (HD; a motor speech disorder) is an early marker of Parkinson's disease (PD), its diagnosis is usually made in a clinic or remotely requiring a patient to actively interact with a device (e.g. a smartphone). The goal of this project is to explore new approaches to the passive examination of HD in PD patients based on acoustic analysis of running speech. Newly designed and clinically interpretable methods will be used to remotely assess the progress of PD, as well as predict its motor and non-motor symptoms.
KeywordsGrant scheme, Project management, Doctoral study programmes, Research project, Competence at science and research
Mark
FEKT-K-22-7755
Default language
English
People responsible
Kováč Daniel, Ing. - principal person responsible
Units
Faculty of Electrical Engineering and Communication- beneficiary (2022-01-01 - 2022-12-31)
Results
KOVÁČ, D. Hodnocení poruch artikulace pacientů s Parkinsonovou nemocí založené na rezonancích v hlasovém traktu. Elektrorevue - Internetový časopis (http://www.elektrorevue.cz), 2022, roč. 24, č. 1, s. 29-34. ISSN: 1213-1539.Detail
NOVÁK, V. Proceedings I of the 28th Conference STUDENT EEICT 2022 General papers. Proceedings I of the 28th Conference STUDENT EEICT 2022 General papers. 1. Brno: Brno University of Technology, Faculty of Electrical Engineering and Communication, 2022. ISBN: 978-80-214-6029-4.Detail
KOVÁČ, D.; MEKYSKA, J.; BRABENEC, L.; KOŠŤÁLOVÁ, M.; REKTOROVÁ, I. Research on Passive Assessment of Parkinson’s Disease Utilising Speech Biomarkers. In Pervasive Computing Technologies for Healthcare. Switzerland: Springer Nature, 2023. p. 259-273. ISBN: 978-3-031-34586-9.Detail
KOVÁČ, D.; MEKYSKA, J.: Articulatory decay analysis; Vocal Tract Resonances Analysis Software. online. URL: https://github.com/BDALab/Articulatory_decay. (software)Detail