Publication detail

Assessing Freezing of Gait in Parkinson's Disease Using Analysis of Hypokinetic Dysarthria

GALÁŽ, Z. MEKYSKA, J. KISKA, T. ZVONČÁK, V. MUCHA, J. SMÉKAL, Z. ELIÁŠOVÁ, I. MRAČKOVÁ, M. KOŠŤÁLOVÁ, M. REKTOROVÁ, I. FAÚNDEZ ZANUY, M.

Original Title

Assessing Freezing of Gait in Parkinson's Disease Using Analysis of Hypokinetic Dysarthria

English Title

Assessing Freezing of Gait in Parkinson's Disease Using Analysis of Hypokinetic Dysarthria

Type

conference paper

Language

en

Original Abstract

Hypokinetic dysarthria (HD) and freezing of gait (FOG) are frequent symptoms of Parkinson's disease (PD). The aim of this work is to reveal pathological mechanisms common for HD and FOG, and use acoustic analysis of dysarthric speech to assess the gait difficulties in PD. We used a correlation analysis to investigate a relationship between speech features and FOG evaluated by freezing of gait questionnaire (FOG-Q). We found speech features quantifying reduced mobility of the articulatory organs significantly correlated with all parts of the questionnaire. Next, we built multivariate regression models to estimate the FOG-Q total score. With this approach, mean estimation error rate of 14.71% was achieved. We confirmed the previous findings of a close relationship between HD and FOG in PD. Furthermore, we showed it is possible to accurately (with the error of approximately 0.5 points) estimate FOG-Q using a reasonable number of conventional speech features.

English abstract

Hypokinetic dysarthria (HD) and freezing of gait (FOG) are frequent symptoms of Parkinson's disease (PD). The aim of this work is to reveal pathological mechanisms common for HD and FOG, and use acoustic analysis of dysarthric speech to assess the gait difficulties in PD. We used a correlation analysis to investigate a relationship between speech features and FOG evaluated by freezing of gait questionnaire (FOG-Q). We found speech features quantifying reduced mobility of the articulatory organs significantly correlated with all parts of the questionnaire. Next, we built multivariate regression models to estimate the FOG-Q total score. With this approach, mean estimation error rate of 14.71% was achieved. We confirmed the previous findings of a close relationship between HD and FOG in PD. Furthermore, we showed it is possible to accurately (with the error of approximately 0.5 points) estimate FOG-Q using a reasonable number of conventional speech features.

Keywords

acoustic analysis; freeying of gait; hypokinetic dysarthria; Parkinson’s disease; regression

Released

05.07.2017

Location

Barcelona, Španělsko

ISBN

978-1-5090-3981-4

Book

40th Anniversary of International Conference on Telecommunications and Signal Processing (TSP)

Pages from

739

Pages to

742

Pages count

4

BibTex


@inproceedings{BUT135640,
  author="Zoltán {Galáž} and Irena {Rektorová} and Jiří {Mekyska} and Tomáš {Kiska} and Vojtěch {Zvončák} and Ján {Mucha} and Zdeněk {Smékal} and Ilona {Eliášová} and Martina {Mračková} and Milena {Košťálová} and Marcos {Faúndez Zanuy}",
  title="Assessing Freezing of Gait in Parkinson's Disease Using Analysis of Hypokinetic Dysarthria",
  annote="Hypokinetic dysarthria (HD) and freezing of gait (FOG) are frequent symptoms of Parkinson's disease (PD). The aim of this work is to reveal pathological mechanisms common for HD and FOG, and use acoustic analysis of dysarthric speech to assess the gait difficulties in PD. We used a correlation analysis to investigate a relationship between speech features and FOG evaluated by freezing of gait questionnaire (FOG-Q). We found speech features quantifying reduced mobility of the articulatory organs significantly correlated with all parts of the questionnaire. Next, we built multivariate regression models to estimate the FOG-Q total score. With this approach, mean estimation error rate of 14.71% was achieved. We confirmed the previous findings of a close relationship between HD and FOG in PD. Furthermore, we showed it is possible to accurately (with the error of approximately 0.5 points) estimate FOG-Q using a reasonable number of conventional speech features.",
  booktitle="40th Anniversary of International Conference on Telecommunications and Signal Processing (TSP)",
  chapter="135640",
  howpublished="online",
  year="2017",
  month="july",
  pages="739--742",
  type="conference paper"
}