Přístupnostní navigace
E-přihláška
Vyhledávání Vyhledat Zavřít
Detail publikačního výsledku
GALÁŽ, Z.
Originální název
Potential of Prosodic Features to Estimate Degree of Parkinson's disease severity
Anglický název
Druh
Stať ve sborníku v databázi WoS či Scopus
Originální abstrakt
This paper deals with non-invasive and objective Parkinson's disease (PD) severity estimation. For this purpose, prosodic speech features expressing monopitch, monoloudness, and speech rate abnormalities were extracted from recordings of stress-modified reading task acquired from 72 patients with idiopathic PD. Using a single feature regression (esimating values of subjective clinical rating scales) with classification and regression algorithm, following performance in terms of root mean squared error was achieved: 10.72 (UPDRS III), 2.16 (UPDRS IV), 4.76 (FOG-Q), 17.89 (NMSS), 2.13 (RBDSQ), 6.43 (ACE-R), 1.41 (MMSE), and 4.82 (BDI). These results show a promising potential of prosodic speech features in the field of objective assessment of PD severity.
Anglický abstrakt
Klíčová slova
Parkinson's disease, hypokinetic dysarthria, dysprosody, objective assessment
Klíčová slova v angličtině
Autoři
Rok RIV
2017
Vydáno
21.04.2016
Místo
Brno
ISBN
978-80-214-5350-0
Kniha
Proceedings of the 22nd Conference STUDENT EEICT 2016
Strany od
533
Strany do
537
Strany počet
5
BibTex
@inproceedings{BUT124429, author="Zoltán {Galáž}", title="Potential of Prosodic Features to Estimate Degree of Parkinson's disease severity", booktitle="Proceedings of the 22nd Conference STUDENT EEICT 2016", year="2016", pages="533--537", address="Brno", isbn="978-80-214-5350-0" }