Detail publikace

Potential of Prosodic Features to Estimate Degree of Parkinson's disease severity

GALÁŽ, Z.

Originální název

Potential of Prosodic Features to Estimate Degree of Parkinson's disease severity

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

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.

Klíčová slova

Parkinson's disease, hypokinetic dysarthria, dysprosody, objective assessment

Autoři

GALÁŽ, Z.

Vydáno

21. 4. 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"
}