Publication detail

Perceptual Features as Markers of Parkinson’s Disease: The Issue of Clinical Interpretability

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

English Title

Perceptual Features as Markers of Parkinson’s Disease: The Issue of Clinical Interpretability

Type

book chapter

Language

en

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.

English 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

Released

23.01.2016

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


@inbook{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",
  annote="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.",
  address="Springer International Publishing",
  booktitle="Recent Advances in Nonlinear Speech Processing",
  chapter="123875",
  doi="10.1007/978-3-319-28109-4_9",
  howpublished="print",
  institution="Springer International Publishing",
  year="2016",
  month="january",
  pages="83--91",
  publisher="Springer International Publishing",
  type="book chapter"
}