Detail publikace

Parkinson's Disease Detection based on Emotions during Speech

SKIBIŃSKA, J. BURGET, R.

Originální název

Parkinson's Disease Detection based on Emotions during Speech

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

machine learning, Parkinson's Disease

Autoři

SKIBIŃSKA, J.; BURGET, R.

Vydáno

14. 10. 2020

Nakladatel

IEEE Xplore

Místo

Brno, Czech Republic

ISBN

978-1-7281-9282-6

Kniha

2020 12TH INTERNATIONAL CONGRESS ON ULTRA MODERN TELECOMMUNICATIONS AND CONTROL SYSTEMS AND WORKSHOPS (ICUMT 2020)

Strany od

124

Strany do

130

Strany počet

7

URL

http://ieeeexplore.ieee.org/abstract/documet/9222446

BibTex

@inproceedings{BUT167267,
  author="Justyna {Skibińska} and Radim {Burget}",
  title="Parkinson's Disease Detection based on Emotions during Speech",
  booktitle="2020 12TH INTERNATIONAL CONGRESS ON ULTRA MODERN TELECOMMUNICATIONS AND CONTROL SYSTEMS AND WORKSHOPS (ICUMT 2020)",
  year="2020",
  pages="124--130",
  publisher="IEEE Xplore",
  address="Brno, Czech Republic",
  doi="10.1109/ICUMT51630.2020.9222446",
  isbn="978-1-7281-9282-6",
  url="http://ieeeexplore.ieee.org/abstract/documet/9222446"
}