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@inproceedings{1412784,
author = {Galaz, Z. and Mekyska, J. and Kiska, T. and Zvoncak, V. and Mucha, J. and Smekal, Z. and Eliášová, Ilona and Mračková, Martina and Košťálová, Milena and Rektorová, Irena and FaundezandZanuy, M.},
address = {Barcelona},
booktitle = {40th International Conference on Telecommunications and Signal Processing, TSP 2017},
doi = {http://dx.doi.org/10.1109/TSP.2017.8076085},
editor = {Herencsar N.},
keywords = {Speech;High definition video;Correlation;Legged locomotion;Turning;Intellectual property; Parkinson's disease},
howpublished = {elektronická verze "online"},
language = {eng},
location = {Barcelona},
isbn = {978-1-5090-3982-1},
pages = {735-738},
publisher = {Institute of Electrical and Electronics Engineers Inc.},
title = {Assessing freezing of gait in parkinson's disease using analysis of hypokinetic dysarthria View Document},
url = {http://ieeexplore.ieee.org/abstract/document/8076085/},
year = {2017}
}
TY - JOUR
ID - 1412784
AU - Galaz, Z. - Mekyska, J. - Kiska, T. - Zvoncak, V. - Mucha, J. - Smekal, Z. - Eliášová, Ilona - Mračková, Martina - Košťálová, Milena - Rektorová, Irena - Faundez-Zanuy, M.
PY - 2017
TI - Assessing freezing of gait in parkinson's disease using analysis of hypokinetic dysarthria View Document
PB - Institute of Electrical and Electronics Engineers Inc.
CY - Barcelona
SN - 9781509039821
KW - Speech;High definition video;Correlation;Legged locomotion;Turning;Intellectual property
KW - Parkinson's disease
UR - http://ieeexplore.ieee.org/abstract/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 -
GALAZ, Z., J. MEKYSKA, T. KISKA, V. ZVONCAK, J. MUCHA, Z. SMEKAL, Ilona ELIÁŠOVÁ, Martina MRAČKOVÁ, Milena KOŠŤÁLOVÁ, Irena REKTOROVÁ and M. FAUNDEZ-ZANUY. Assessing freezing of gait in parkinson's disease using analysis of hypokinetic dysarthria View Document. Online. In Herencsar N. \textit{40th International Conference on Telecommunications and Signal Processing, TSP 2017}. Barcelona: Institute of Electrical and Electronics Engineers Inc., 2017, p.~735-738. ISBN~978-1-5090-3982-1. Available from: https://dx.doi.org/10.1109/TSP.2017.8076085.
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