Authors
Jiri Mekyska, Zoltan Galaz, Tomas Kiska, Vojtech Zvoncak, Jan Mucha, Zdenek Smekal, Ilona Eliasova, Milena Kostalova, Martina Mrackova, Dagmar Fiedorova, Marcos Faundez-Zanuy, Jordi Solé-Casals, Pedro Gomez-Vilda, Irena Rektorova
Publication date
2018/12
Journal
Cognitive computation
Volume
10
Pages
1006-1018
Publisher
Springer US
Description
Hypokinetic dysarthria (HD) and freezing of gait (FOG) are both axial symptoms that occur in patients with Parkinson’s disease (PD). It is assumed they have some common pathophysiological mechanisms and therefore that speech disorders in PD can predict FOG deficits within the horizon of some years. The aim of this study is to employ a complex quantitative analysis of the phonation, articulation and prosody in PD patients in order to identify the relationship between HD and FOG, and establish a mathematical model that would predict FOG deficits using acoustic analysis at baseline. We enrolled 75 PD patients who were assessed by 6 clinical scales including the Freezing of Gait Questionnaire (FOG–Q). We subsequently extracted 19 acoustic measures quantifying speech disorders in the fields of phonation, articulation and prosody. To identify the relationship between HD and FOG, we performed a …
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