Assessing freezing of gait in parkinson's disease using
analysis of hypokinetic dysarthria  View Document

D 2017

Assessing freezing of gait in parkinson's disease using analysis of hypokinetic dysarthria View Document

GALAZ, Z.; J. MEKYSKA; T. KISKA; V. ZVONCAK; J. MUCHA et al.

Základní údaje

Originální název

Assessing freezing of gait in parkinson's disease using analysis of hypokinetic dysarthria View Document

Autoři

GALAZ, Z.; J. MEKYSKA; T. KISKA; V. ZVONCAK; J. MUCHA; Z. SMEKAL; Ilona ELIÁŠOVÁ; Martina MRAČKOVÁ; Milena KOŠŤÁLOVÁ ; Irena REKTOROVÁ a M. FAUNDEZ-ZANUY

Vydání

Barcelona, 40th International Conference on Telecommunications and Signal Processing, TSP 2017, od s. 735-738, 4 s. 2017

Nakladatel

Institute of Electrical and Electronics Engineers Inc.

Další údaje

Jazyk

angličtina

Typ výsledku

Stať ve sborníku

Obor

30103 Neurosciences

Stát vydavatele

Španělsko

Utajení

není předmětem státního či obchodního tajemství

Forma vydání

elektronická verze "online"

Odkazy

URL

Označené pro přenos do RIV

Ano

Kód RIV

RIV/00216224:14740/17:00095716

Organizační jednotka

Středoevropský technologický institut

ISBN

978-1-5090-3982-1

DOI

https://doi.org/10.1109/TSP.2017.8076085

EID Scopus

2-s2.0-85042922818

Klíčová slova anglicky

Speech;High definition video;Correlation;Legged locomotion;Turning;Intellectual property; Parkinson's disease

Štítky

rivok

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 29. 3. 2018 10:36, Mgr. Pavla Foltynová, Ph.D.

Anotace

V originále

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.

Návaznosti

NV16-30805A, projekt VaV

Název: Efekt neinvazivní stimulace mozku na hypokinetickou dysartrii, mikrografii a mozkovou plasticitu u pacientů s Parkinsonovou nemocí

Citovat

GALAZ, Z.; J. MEKYSKA; T. KISKA; V. ZVONCAK; J. MUCHA; Z. SMEKAL; Ilona ELIÁŠOVÁ; Martina MRAČKOVÁ; Milena KOŠŤÁLOVÁ; Irena REKTOROVÁ a M. FAUNDEZ-ZANUY. Assessing freezing of gait in parkinson's disease using analysis of hypokinetic dysarthria View Document. Online. In Herencsar N. 40th International Conference on Telecommunications and Signal Processing, TSP 2017. Barcelona: Institute of Electrical and Electronics Engineers Inc., 2017, s. 735-738. ISBN 978-1-5090-3982-1. Dostupné z: https://doi.org/10.1109/TSP.2017.8076085.

@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 = {https://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  - CONF
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 a 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, s.~735-738. ISBN~978-1-5090-3982-1. Dostupné z: https://doi.org/10.1109/TSP.2017.8076085.

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