Document detail
ID
oai:HAL:hal-04178781v1
Topic
Hypomimia Early Parkinson's Disease Facial Action Units XGBoost [INFO.INFO-CV]Computer Science [cs... [SDV.IB.IMA]Life Sciences [q-bio]/... [SDV.NEU]Life Sciences [q-bio]/Neu...Author
Filali, Anas Jeancolas, Laetitia Mangone, Graziella Sambin, Sara Chalançon, Alizé Gomes, Manon Lehéricy, Stéphane Corvol, Jean-Christophe Vidailhet, Marie Arnulf, Isabelle El-Yacoubi, Mounim, A El Yacoubi, Mounim Petrovska-Delacrétaz, DijanaLangue
enEditor
HAL CCSD
Category
CNRS - Centre national de la recherche scientifique
Year
2023
listing date
12/15/2023
Keywords
aus based action parkinson disease pdAbstract
International audience; Background: Hypomimia is a symptom of Parkinson's disease (PD), characterized by a decrease in facial movements and loss of face emotional expressions.
This study aims to detect hypomimia in participants with early-stage PD based on facial action units (AUs).
Methods: A total of 299 video recordings were included, consisting of 208 PD subjects and 91 healthy controls (HC), asked to perform fast syllable repetitions.
To distinguish typical facial muscle movements from PD subjects associated with hypomimia, we compute the AUs derivatives.
Global features were extracted based on the AUs intensities and their derivatives, and XGBoost was used to classify PD vs. HC.Results: We obtain classification scores up to 73.00% in terms of balanced accuracy (BA) and an area under the curve (AUC) of 78.38% at video visit level.
These results are promising for detecting hypomimia at an early stage of PD, and this work could potentially allow for continuous monitoring of hypomimia outside of hospitals through telemedicine.
Filali, Anas,Jeancolas, Laetitia,Mangone, Graziella,Sambin, Sara,Chalançon, Alizé,Gomes, Manon,Lehéricy, Stéphane,Corvol, Jean-Christophe,Vidailhet, Marie,Arnulf, Isabelle,El-Yacoubi, Mounim, A,El Yacoubi, Mounim,Petrovska-Delacrétaz, Dijana, 2023, Early-stage parkinson's disease detection based on action unit derivatives, HAL CCSD
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