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MEKYSKA, J. SMÉKAL, Z. GALÁŽ, Z. MŽOUREK, Z. REKTOROVÁ, I. FAÚNDEZ ZANUY, M. LOPEZ-DE-IPINA, K.
Original Title
Perceptual Features as Markers of Parkinson’s Disease: The Issue of Clinical Interpretability
Type
conference paper
Language
English
Original Abstract
Up to 90 % of patients with Parkinson’s disease (PD) suffer from hypokinetic dysathria (HD) which is also manifested in the field of phonation. Clinical signs of HD like monoloudness, monopitch or hoarse voice are usually quantified by conventional clinical interpretable features (jitter, shimmer, harmonic-to-noise ratio, etc.). This paper provides large and robust insight into perceptual analysis of 5 Czech vowels of 84 PD patients and proves that despite the clinical inexplicability the perceptual features outperform the conventional ones, especially in terms of discrimination power (classification accuracy ACC=92 %, sensitivity SEN=93 %, specificity SPE=92 %) and partial correlation with clinical scores like UPDRS (Unified Parkinson’s disease rating scale), MMSE (Mini-mental state examination) or FOG (Freezing of gait questionnaire), where p < 0.0001.
Keywords
Perceptual features, perceptual analysis, Parkinson’s disease, hypokinetic dysarthria, speech processing
Authors
MEKYSKA, J.; SMÉKAL, Z.; GALÁŽ, Z.; MŽOUREK, Z.; REKTOROVÁ, I.; FAÚNDEZ ZANUY, M.; LOPEZ-DE-IPINA, K.
Released
23. 1. 2016
Publisher
Springer International Publishing
Location
Switzerland
ISBN
978-3-319-28107-0
Book
Recent Advances in Nonlinear Speech Processing
Pages from
83
Pages to
91
Pages count
9
BibTex
@inproceedings{BUT123875, author="Jiří {Mekyska} and Zdeněk {Smékal} and Zoltán {Galáž} and Zdeněk {Mžourek} and Irena {Rektorová} and Marcos {Faúndez Zanuy} and Karmele {Lopez-de-Ipina}", title="Perceptual Features as Markers of Parkinson’s Disease: The Issue of Clinical Interpretability", booktitle="Recent Advances in Nonlinear Speech Processing", year="2016", pages="83--91", publisher="Springer International Publishing", address="Switzerland", doi="10.1007/978-3-319-28109-4\{_}9", isbn="978-3-319-28107-0" }