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.

Keywords
Grant scheme, Project management, Doctoral study programmes, Research project, Competence at science and research

FEKT-K-22-7755

English

Kováč Daniel, Ing., Ph.D. - principal person responsible

Faculty of Electrical Engineering and Communication
- responsible department (19.10.2021 - not assigned)
Faculty of Electrical Engineering and Communication
- beneficiary (1.1.2022 - 31.12.2022)

KOVÁČ, D.; MEKYSKA, J.: Articulatory decay analysis; Vocal Tract Resonances Analysis Software. online. URL: https://github.com/BDALab/Articulatory_decay. (software)
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

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. 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

Responsibility: Kováč Daniel, Ing., Ph.D.