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@inproceedings{1402336,
author = {Galáž, Zoltán and Mekyska, Jiří and Kiska, Tomáš and Zvončák, Vojtěch and Mucha, Ján and Smékal, Zdeněk and Eliášová, Ilona and Mračková, Martina and Košťálová, Milena and Rektorová, Irena and FaundezandZanuy, Marcos},
address = {Barcelona},
booktitle = {40th Anniversary of International Conference on Telecommunications and Signal Processing (TSP)},
doi = {http://dx.doi.org/10.1109/TSP.2017.8076085},
editor = {Herencsar N.},
keywords = {acoustic analysis; freeying of gait; hypokinetic dysarthria; Parkinson’s disease; regression},
howpublished = {elektronická verze "online"},
language = {eng},
location = {Barcelona},
isbn = {978-1-5090-3981-4},
pages = {735-738},
publisher = {IEEE},
title = {Assessing Freezing of Gait in Parkinson's Disease Using Analysis of Hypokinetic Dysarthria},
url = {http://ieeexplore.ieee.org/document/8076085/},
year = {2017}
}
TY - JOUR
ID - 1402336
AU - Galáž, Zoltán - Mekyska, Jiří - Kiska, Tomáš - Zvončák, Vojtěch - Mucha, Ján - Smékal, Zdeněk - Eliášová, Ilona - Mračková, Martina - Košťálová, Milena - Rektorová, Irena - Faundez-Zanuy, Marcos
PY - 2017
TI - Assessing Freezing of Gait in Parkinson's Disease Using Analysis of Hypokinetic Dysarthria
PB - IEEE
CY - Barcelona
SN - 9781509039814
KW - acoustic analysis
KW - freeying of gait
KW - hypokinetic dysarthria
KW - Parkinson’s disease
KW - regression
UR - http://ieeexplore.ieee.org/document/8076085/
N2 - 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.
ER -
GALÁŽ, Zoltán, Jiří MEKYSKA, Tomáš KISKA, Vojtěch ZVONČÁK, Ján MUCHA, Zdeněk SMÉKAL, Ilona ELIÁŠOVÁ, Martina MRAČKOVÁ, Milena KOŠŤÁLOVÁ, Irena REKTOROVÁ and Marcos FAUNDEZ-ZANUY. Assessing Freezing of Gait in Parkinson's Disease Using Analysis of Hypokinetic Dysarthria. Online. In Herencsar N. \textit{40th Anniversary of International Conference on Telecommunications and Signal Processing (TSP)}. Barcelona: IEEE, 2017, p.~735-738. ISBN~978-1-5090-3981-4. Available from: https://dx.doi.org/10.1109/TSP.2017.8076085.
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