Parkinson's Disease Detection based on Emotions during Speech

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F20%3APU138168" target="_blank" >RIV/00216305:26220/20:PU138168 - isvavai.cz</a>
Result on the web
<a href="http://ieeeexplore.ieee.org/abstract/documet/9222446" target="_blank" >http://ieeeexplore.ieee.org/abstract/documet/9222446</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ICUMT51630.2020.9222446" target="_blank" >10.1109/ICUMT51630.2020.9222446</a>

Result language
angličtina
Original language name
Parkinson's Disease Detection based on Emotions during Speech
Original language description
One of the early syptoms of Parkinson's Disease is so-called hypomimia. This paper introduces an authomatic method, which can objectively detect PD. The method is based on analysis of emotion changes during pronunciation defined speech exercises. We achieved balanced accuracy 69 % using XGBoost algorithm. As the exercise we proposed to use a Czech tongue twister - the difficult to pronounce sentence. The features can be explained and thus it can be used in clinical practice. We identified that the most valuable emotion for PD detection in this case is fear.
Czech name
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Czech description
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Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
2020 12TH INTERNATIONAL CONGRESS ON ULTRA MODERN TELECOMMUNICATIONS AND CONTROL SYSTEMS AND WORKSHOPS (ICUMT 2020)
ISBN
978-1-7281-9282-6
ISSN
—
e-ISSN
—
Number of pages
7
Pages from-to
124-130
Publisher name
IEEE Xplore
Place of publication
Brno, Czech Republic
Event location
Online
Event date
Oct 5, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000627398300022

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