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

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14110%2F17%3A00095694" target="_blank" >RIV/00216224:14110/17:00095694 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/00216305:26220/17:PU123586

Výsledek na webu

<a href="http://dx.doi.org/10.1109/TSP.2017.8076085" target="_blank" >http://dx.doi.org/10.1109/TSP.2017.8076085</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/TSP.2017.8076085" target="_blank" >10.1109/TSP.2017.8076085</a>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

30210 - Clinical neurology

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2017

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

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

ISBN

9781509039814

ISSN

—

e-ISSN

—

Počet stran výsledku

4

Strana od-do

735-738

Název nakladatele

IEEE

Místo vydání

Barcelona

Místo konání akce

Barcelona

Datum konání akce

1. 1. 2017

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

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